國立臺南大學專任教師基本資料
姓名李健興
系所資訊工程學系
校內分機7709
EMAILleecs@mail.nutn.edu.tw
辦公室ZC 305-1
網址http://mail.nutn.edu.tw/~leecs/index.htm
專長/研究領域知識工程 智慧型代理人 網路服務應用
學位畢業學校國別主修學門修業期間
博士國立成功大學中華民國資訊工程研究所1994/09~1998/06
服務機關部門系所職稱服務期間
崑山科技大學資訊管理系助理教授2000/02 ~ 2001/07
長榮大學資訊管理系助理教授2001/08~2003/07
長榮大學電算中心軟體發展組組長2002/08 ~ 2003/07
長榮大學資訊管理系副教授2003/08~2005/07
長榮大學資訊工程系籌備處主任2004/11~2005/07
中華民國人工智慧學會中華民國人工智慧學會理事2005/01 迄今
國立臺南大學資訊工程學系副教授2005/08~2008/1
國立臺南大學電子計算機中心主任2006/02~2011/7
國立臺南大學資訊工程學系教授2008/2~迄今
國立臺南大學研發處研發長2011/01-2015/07
著作名稱：C. S. Lee, M. H. Wang, M. K. Su, M. H. Wu, and H. Hagras, "A type-2 FML-based meeting scheduling support system," in G. Acampora, C. S. Lee, M. H. Wang, and V. Loia (editors), On the Power of Fuzzy Markup Language, Springer-Verlag, Germany, Nov. 2012, pp. 169-186.
年度：2012
類別： 學術專書
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著作名稱：M. H. Wang, C. S. Lee, Z. W. Chen, H. Hagras, S. E. Kuo, H. C. Kuo, and H. H. Cheng, "A type-2 FML-based fuzzy ontology for dietary assessment," in G. Acampora, C. S. Lee, M. H. Wang, and V. Loia (editors), On the Power of Fuzzy Markup Language, Springer-Verlag, Germany, Nov. 2012, pp. 149-168.
年度：2012
類別： 學術專書
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著作名稱：M. H. Wang, C. S. Lee, H. Hagras, M. K. Su, Y. Y. Tseng, H. M. Wang, Y. L. Wang, and C. H. Liu, "Applying FML-based fuzzy ontology to university assessment," in G. Acampora, C. S. Lee, M. H. Wang, and V. Loia (editors), On the Power of Fuzzy Markup Language, Springer-Verlag, Germany, Nov. 2012, pp. 133-147.
年度：2012
類別： 學術專書
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著作名稱：H. D. Huang, G. Acampora, V. Loia, C. S. Lee, H. Hagras, M. H. Wang, H. Y. Kao, and J. G. Chang, "Fuzzy markup language for malware behavioral analysis," in G. Acampora, C. S. Lee, M. H. Wang, and V. Loia (editors), On the Power of Fuzzy Markup Language, Springer-Verlag, Germany, Nov. 2012, pp. 113-131.
年度：2012
類別： 學術專書
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著作名稱：C. S. Lee, M. H. Wang, Y. J. Chen, and S. J. Yen, "Apply fuzzy markup language to knowledge representation for game of computer Go," in G. Acampora, C. S. Lee, M. H. Wang, and V. Loia (editors), On the Power of Fuzzy Markup Language, Springer-Verlag, Germany, Nov. 2012, pp. 95-112.
年度：2012
類別： 學術專書
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著作名稱：C. S. Lee, M. H. Wang, P. H. Hung, Y. L. Kuo, H. M. Wang, and B. H. Lin, "Apply fuzzy markup language to ASAP assessment system," in G. Acampora, C. S. Lee, M. H. Wang, and V. Loia (editors), On the Power of Fuzzy Markup Language, Springer-Verlag, Germany, Nov. 2012, pp. 73-93.
年度：2012
類別： 學術專書
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著作名稱：C. S. Lee, M. H. Wang, and O. Teytaud, "Fuzzy ontologies for the game of Go," in R. Seising, E. Trillas, C. Moraga, and S. Termini (editors), On Fuzziness. A Homage to Lotfi A. Zadeh, Berlin, New York, Springer, 2012, pp. 367-372.
年度：2012
類別： 學術專書
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著作名稱：M. H. Wang, C. S. Lee, G. Acampora, and V. Loia, "Electrocardiogram application based on heart rate variability ontology and fuzzy markup language," in A. Gacek and W. Pedrycz (editors), ECG Signal Processing, Classification and Interpretation: A Comprehensive Framework of Computational Intelligence, Springer-Verlag, Germany, Nov. 2011, pp. 155-178.
年度：2011
類別： 學術專書
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著作名稱：C-S Lee, H-C Wang and M-J Chang, “A Fuzzy Decision Agent based on Personal Ontology for Meeting Scheduling Support System,” (Book Chapter) Classification and Clustering for Knowledge Discovery, Springer-Verlag, 2005.
年度：2005
類別： 學術專書
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著作名稱："A Fuzzy Decision Agent based on Personal Ontology for Meeting Scheduling Support System" (Book Chapter) Classification and Clustering for Knowledge Discovery
年度：2005
類別： 學術專書
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著作名稱："A Novel Fuzzy Filter for Impulse Noise Removal" Lecture Notes in Computer Science
年度：2004
類別： 學術專書
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著作名稱：C-S Lee, S-M Guo, and C-Y Hsu, “A Novel Fuzzy Filter for Impulse Noise Removal,” (SCI) Lecture Notes in Computer Science, vol. 3174/2004, Springer-Verlag, 2004.
年度：2004
類別： 學術專書
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著作名稱："Fuzzy Logic and Fuzzy Reasoning" (Book Chapter) Fuzzy Logic and Its Applications
年度：2002
類別： 學術專書
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著作名稱：C-S Lee and Y-H Kuo, “Fuzzy Logic and Fuzzy Reasoning,” (Book Chapter) Fuzzy Logic and Its Applications, 全華, 2002.
年度：2002
類別： 學術專書
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著作名稱：C-S Lee and Y-H Kuo, “Adaptive Fuzzy Filter and Its Application to Image Enhancement,” (Book Chapter) Fuzzy Techniques in Image Processing, Springer-Verlag, 2000.
年度：2000
類別： 學術專書
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著作名稱："Adaptive Fuzzy Filter and Its Application to Image Enhancement" (Book Chapter) Fuzzy Techniques in Image Processing
年度：2000
類別： 學術專書
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著作名稱： Intelligent agent for real-world applications on robotic edutainment and humanized co-learning
年度：2019
類別： 期刊論文 Journal of Ambient Intelligence and Humanized Computing
摘要：Dynamic assessment with an intelligent agent can differentiate the capabilities and proficiency of students. It can therefore be advocated as an interactive approach to conduct assessments on students in learning systems. Facebook AI Research proposed ELF OpenGo, an open-source reimplementation of the AlphaZero algorithm. They also developed Darkforest, which displays the competence and skills of high-level amateur Go players. To enable these open-source AI bots to assist humans at different levels in learning Go, this paper proposes an intelligent agent for real-world applications in robotic edutainment and humanized co-learning. To achieve this, we successfully constructed an OpenGo Darkforest (OGD) cloud platform using these AI bots and further combined the brain computer interface with the OGD cloud platform to observe the relationship between the brainwaves and win rates of human Go players. The intelligent agent also converted human brainwaves into physiological indices and reflected these in the robot to express human feelings or emotions in real-time. For future educational applications, this paper also presents intelligent robot teachers learning together with students in Taiwan and Japan. More than 200 students have been co-learning with intelligent robot teachers in Tainan, Kaohsiung, Taipei, and Tokyo from 2018 to 2019. The learning performance and feedback from students and teachers has been extremely positive, especially from remedial students.
關鍵字：Intelligent agent, Dynamic assessment, Humanized co-learning, Robot edutainment, Brain–computer-interface
著作名稱：C. S. Lee, M. H. Wang, C. S. Wang, O. Teytaud, J. L. Liu, S. W. Lin, and P. H. Hung, "PSO-based fuzzy markup language for student learning performance evaluation and educational application," IEEE Transactions on Fuzzy Systems, vol. 26, no. 5, pp. 2618-2633, 2018.
年度：2018
類別： 期刊論文 IEEE Transactions on Fuzzy Systems
摘要：Fuzzy relationships exist between students learning performance with various abilities and a test item. However, the challenges in implementing adaptive assessment agents are obtaining sufficient items, efficient and accurate computerized estimation, and a substantial feedback agent. Additionally, the agent must immediately estimate students ability item by item, which places a considerable burden on the server, especially for a group test. Hence, the implementation of an adaptive assessment agent is more difficult in practice. This paper proposes an agent with particle swarm optimization (PSO) based on a fuzzy markup language (FML) for students learning performance evaluation and educational applications, and the proposed agent is according to the response data from a conventional test and an item response theory (IRT)-based three-parameter logistic model. First, we apply a Gauss-Seidel based parameter estimation mechanism to estimate the items parameters according to the response data, and then to compare its results with those of an IRT-based Bayesian parameter estimation mechanism. In addition, we propose a static-IRT test assembly mechanism to assemble a form for the conventional test. The presented FML-based dynamic assessment mechanism infers the probability of making a correct response to the item for a student with various abilities. Moreover, this paper also proposes a novel PSO-based FML (PFML) learning mechanism for optimizing the parameters between items and students. Finally, we adopt a K-fold cross-validation mechanism to evaluate the performance of the proposed agent. Experimental results show that the novel PFML learning mechanism for the parameter estimation and learning optimization performs favorably. We believe the proposed PFML will be a reference for education research and pedagogy and an important colearning mechanism for future human-machine educational applications.
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著作名稱： C. S. Lee, M. H. Wang, S. C. Yang, P. H. Hung, S. W. Lin, N. Shuo, N. Kubota, C. H. Chou, P. C. Chou, and C. H. Kao, "FML-based dynamic assessment agent for human-machine cooperative system on game of Go," (SCI) International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, vol. 25, no. 5, pp. 677-705, 2017.
年度：2017
類別： 期刊論文 International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
摘要：In this paper, we demonstrate the application of Fuzzy Markup Language (FML) to construct an FML-based Dynamic Assessment Agent (FDAA), and we present an FML-based Human–Machine Cooperative System (FHMCS) for the game of Go. The proposed FDAA comprises an intelligent decision-making and learning mechanism, an intelligent game bot, a proximal development agent, and an intelligent agent. The intelligent game bot is based on the open-source code of Facebook’s Darkforest, and it features a representational state transfer application programming interface mechanism. The proximal development agent contains a dynamic assessment mechanism, a GoSocket mechanism, and an FML engine with a fuzzy knowledge base and rule base. The intelligent agent contains a GoSocket engine and a summarization agent that is based on the estimated win rate, real-time simulation number, and matching degree of predicted moves. Additionally, the FML for player performance evaluation and linguistic descriptions for game results commentary are presented. We experimentally verify and validate the performance of the FDAA and variants of the FHMCS by testing five games in 2016 and 60 games of Google’s Master Go, a new version of the AlphaGo program, in January 2017. The experimental results demonstrate that the proposed FDAA can work effectively for Go applications.
關鍵字：Fuzzy markup language; prediction agent; decision support engine; robot engine; FAIR darkforest Go engine
著作名稱：C. S. Lee, M. H. Wang, Y. C. Hsiao, B. H. Tsai, "Ontology-based GFML agent for patent technology requirement evaluation and recommendation," (SCI) Soft-Computing, 2017. (DOI: 10.1007/s00500-017-2859-1)
年度：2017
類別： 期刊論文 Soft Computing
摘要：Patent technology requirement evaluation and recommendation are critical for patent strategy, patent management, and patent usage in an organization. This paper proposes a patent technology evaluation and recommendation agent based on a soft-computing approach to enhance patent expansibility and technology transfer. First, we investigate the relationship between patent technology and patent owners, such as academic institutes or organizations, and integrate the collected patent data with the characteristics of organizations to establish a popular patent ontology for general academic institutes or organizations. Then, the patent’s suitability for a specific organization is determined based on concepts extracted using Chinese Knowledge Information Processing. Next, we refer to the Japan Patent Office evaluation index and intellectual property quotient to describe the knowledge base and rule base of the patent quality evaluation agent by using fuzzy markup language (FML). A comprehensive patent quality evaluation mechanism is implemented, and the genetic algorithm is adopted to improve the performance of the proposed agent. Additionally, the patent requirement level evaluation mechanism infers the patent requirement level according to the basic information of an organization. Finally, we present a novel FML-based patent requirement recommendation agent to recommend a patent for an organization by considering the suitability of the patent technology for such an organization, the results of the comprehensive patent quality evaluation process, and the results of the evaluation of the demander’s patent requirements. According to the results, the proposed agent is feasible for patent recommendation. In the future, we will combine an intelligent robot with the GFML agent to assist humans or organizations in recommending an appropriate patent.
關鍵字：Ontology, Genetic fuzzy markup language, Patent evaluation, Patent recommendation, Intelligent agent
著作名稱：M. H. Wang, K. Kurozumi, M. Kawaguchi, C. S. Lee, H. Tsuji, and S. Tsumoto, "Healthy diet assessment mechanism based on fuzzy markup language for Japanese food," (SCI) Soft Computing, vol. 20, no. 1, pp. 359-376, Jan. 2016.
年度：2016
類別： 期刊論文 Soft Computing
摘要：Owing to the change of our lifestyle, more people suffer from chronic diseases, such as obesity or diabetes. However, making improvements in terms of diet and physical activity can help people reduce the risk of suffering from these chronic diseases. This paper presents a healthy diet assessment mechanism based on fuzzy markup language (FML) for Japanese food. This mechanism is based on the dietary standard, food exchange list (FEL), published by the Japan Diabetes Society, to assess one person’s dietary healthy level according to his/her personal profile, his/her daily physical activity, and how balanced he/she consumes food items. We use FML to describe the knowledge base and the rule base of the constructed fuzzy logic system. Additionally, ontology stores the necessary knowledge base and rule base of the adopted fuzzy inference mechanism. The proposed mechanism operates as follows: (i) Dieticians first define the nutrient facts of the collected food items. (ii) The involved subjects record their personal information, eaten food items, and daily physical activity. Through the constructed FML-based personal profile ontology, the estimated energy requirement (EER) and the estimated unit requirement (EUR) for each food group are obtained after inference. (iii) Finally, one-day dietary healthy level (DHL) is inferred by the proposed fuzzy inference mechanism. From the experimental results, the proposed mechanism is feasible to apply to Japanese dietary assessment. In the future, we will integrate with genetic learning algorithm and collect more subjects’ records to further improve the performance.
關鍵字：Ontology, Fuzzy Inference Mechanism, Fuzzy Markup Language, Dietary Healthy Level Assessment, Food Exchange List
著作名稱： C. S. Lee, M. H. Wang, S. J. Yen, T. H. Wei, I. C. Wu, P. C. Chou, C. H. Chou, M. W. Wang, and T. H. Yang, "Human vs. computer Go: review and prospect," (SCI) IEEE Computational Intelligence Magazine, vol. 11, no. 3, pp. 67-72, Aug. 2016.
年度：2016
類別： 期刊論文 IEEE Computational Intelligence Magazine
摘要：The Google DeepMind challenge match in March 2016 was a historic achievement for computer Go development. This article discusses the development of computational intelligence (CI) and its relative strength in comparison with human intelligence for the game of Go. We first summarize the milestones achieved for computer Go from 1998 to 2016. Then, the computer Go programs that have participated in previous IEEE CIS competitions as well as methods and techniques used in AlphaGo are briefly introduced. Commentary from three high-level professional Go players on the five AlphaGo versus Lee Sedol games are also included. We conclude that AlphaGo beating Lee Sedol is a huge achievement in artificial intelligence (AI) based largely on CI methods. In the future, powerful computer Go programs such as AlphaGo are expected to be instrumental in promoting Go education and AI real-world applications.
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著作名稱： C. S. Lee, M. H. Wang, M. J. Wu, O. Teytaud, and S. J. Yen, "T2FS-based adaptive linguistic assessment system for semantic analysis and human performance evaluation on game of Go," (SCI) IEEE Transactions on Fuzzy Systems, vol. 23, no. 2, pp. 400-420, Apr. 2015.
年度：2015
類別： 期刊論文 IEEE Transactions on Fuzzy Systems
摘要：The game of Go is a long-history board game that is much more complex than chess. The uncertainties of this game will be higher when the board size gets bigger. For evaluating the human performance on Go games, one human could be advanced to a higher rank based on the number of winning games via a formal human against human competition. However, a human Go player’s performance could be influenced by some factors, such as the on-the-spot environment as well as physical and mental situations of the day, which causes the difficulty and uncertainty in certificating the human’s rank. Thanks to a sample of one player’s games, evaluating his/her strength by classical models such as the Bradley-Terry model is possible. However, due to inhomogeneous game conditions and limited access to archives of games, such estimates can be imprecise. Also, classical rankings (1 Dan, 2 Dan, ...) are integers, leading to a rather imprecise estimate of the opponent’s strengths. Therefore, we propose to use a sample of games played against a computer to estimate the human’s strength. In order to increase the precision, the strength of the computer is adapted from one move to the next by increasing or decreasing the computational power based on the current situation and the result of games. The human can decide some specific conditions, such as komi and board size. In this paper, we use T2FSs with parameters optimized by a genetic algorithm for estimating the rank in a stable manner, independently of the board size. More precisely, an adaptive Monte Carlo Tree Search (MCTS) estimates the number of simulations, corresponding to the strength of its opponents. Next, the T2FS-based adaptive linguistic assessment system infers the human performance and presents the results using the linguistic description. The experimental results show the proposed approach is feasible for the application to the adaptive linguistic assessment on human Go player’s performance.
關鍵字：Type-2 Fuzzy Set, Fuzzy Markup Language, Adaptive Assessment, Ontology, Game of Go
著作名稱：C. S. Lee, M. H. Wang, and S. T. Lan, "Adaptive personalized diet linguistic recommendation mechanism based on type-2 fuzzy sets and genetic fuzzy markup language," (SCI) IEEE Transactions on Fuzzy Systems, vol. 23, no. 5, pp. 1777-1802, Oct. 2015.
年度：2015
類別： 期刊論文 IEEE Transactions on Fuzzy Systems
摘要：Many different real-world applications with a high-level of uncertainty proved the good performance of the type-2 fuzzy sets (T2 FSs). Balanced diet means the intake of each necessary nutrient meets its adequate demand and actual caloric intake balances with calories burned. Additionally, making a diversity of choice from various types of food is also essential to reduce the risk of developing various chronic diseases. Different people have a different goal and it is hard to measure how healthy the eaten meal is for those who are not the domain experts on the diet. This paper presents an adaptive personalized diet linguistic recommendation mechanism based on type-2 fuzzy logic system (T2 FLS) and genetic fuzzy markup language (GFML). First, an adaptive dietary assessment and recommendation ontology is constructed by domain experts, and then a T2 FS-based GFML, describing the fuzzy knowledge base and the fuzzy rule base of the proposed mechanism, is evolved by using genetic algorithms (GAs). Next, a T2 FS-based fuzzy inference mechanism infers the result of the dietary health level based on the evolved type-2 GFML (T2GFML). In addition, the balanced computation mechanism is also proposed to reduce the computational complexity of the T2 FLS for the diet domain knowledge. Finally, the linguistic knowledge discovery mechanism presents the discovered linguistic meaning about the meal’s health level to show the involved subjects how to make a personalized diet linguistic recommendation. This type of information about the eaten meal can provide the subjects with a reference to gradually improve their unhealthy eating habit and then become healthier and healthier. Experimental results show that the results of the proposed mechanism for the T2 FLS are better than those for the type-1 fuzzy logic system (T1 FLS).
關鍵字：Type-2 Fuzzy Set, Genetic Fuzzy Markup Language, Adaptive Ontology, Genetic Learning, Personalized Diet Linguistic Recommendation
著作名稱：C. S. Lee, M. H. Wang, M. J. Wu, Y. Nakagawa, H. Tsuji, Y. Yamazaki, and K. Hirota, "Soft-Computing-based emotional expression mechanism for game of Computer Go," (SCI) Soft Computing, vol. 17, no. 7, pp. 1263-1282, Jul. 2013
年度：2013
類別： 期刊論文 Soft Computing
摘要：The game of Go is considered one of the most complicated games in the world. One Go game is divided into three stages, including the opening, the middle, and the ending stages. Millions of people regularly play Go in countries around the world. The game is played by two players. One is White and another is Black. The players alternate placing one of their stones on an empty intersection of a square grid-patterned game board. The player with more territory wins the game. To encourage players to enjoy Go and keep their tension on the game, this paper proposes a soft-computing-based emotional expression mechanism and applies it to the game of computer Go. First, the knowledge base and rule base of the proposed mechanism are defined by following the standards of the Fuzzy Markup Language (FML). The soft-computing mechanism for Go regional alarm level is responsible for showing the inferred regional alarm level to Go beginners. Based on the inferred board situation, the fuzzy inference mechanisms for emotional pleasure and arousal are responsible for inferring the pleasure degree and arousal degree, respectively. An emotional expression mapping mechanism maps the inferred degree of pleasure and degree of arousal into the emotional expression of the eye robot. The protocol transmission mechanism finally sends the pre-defined protocol to the eye robot via universal serial bus (USB) interface to make the eye robot express its emotional motion. From the experimental results, it shows that the eye robot can support Go beginners to have fun and retain their tension while watching or playing a game of Go.
關鍵字：Soft-Computing, Ontology, Fuzzy Markup Language, Computer Go, Fuzzy Inference Mechanism, Emotional Expression
著作名稱：C. S. Lee, M. H. Wang, Y. J. Chen, H. Hagras, M. J. Wu, and O. Teytaud, "Genetic fuzzy markup language for game of NoGo," (SCI) Knowledge-Based Systems, vol. 34, pp. 64-80, 2012.
年度：2012
類別： 期刊論文 Knowledge-Based Systems
摘要：NoGo is similar to the game of Go in terms of gameplay; however, the goal is different: the first player who either suicides or kills a group loses the game and the first player with no legal move loses the game. In this paper, we propose an approach combining the technologies of ontologies, evolutionary computation, fuzzy logic, and fuzzy markup language (FML) with a genetic algorithm (GA)-based system for the NoGo game. Based on the collected patterns and the pre-constructed fuzzy NoGo ontology, the genetic FML (GFML) with the fuzzy inference mechanism is able to analyze the situation of the current game board and then play next move to an inferred good-move position. Additionally, the genetic learning mechanism continuously evolves the adopted GFMLs to enable an increase in the winning rate of the GA-based NoGo via playing with the baseline NoGo. In the proposed approach, first, the domain experts construct the important NoGo patterns and the fuzzy NoGo ontology based on the rules of NoGo and the past game records. Second, each GA-based NoGo as White plays against the baseline NoGo as Black according to the inferred and calculated good-move position, respectively. Third, the genetic learning mechanism is carried out to generate two new evolved GFMLs and then the worst two GFMLs stored in the GFML repository are replaced. Fourth, the GFML with the highest winning rate is randomly sampled from the GFML repository in the time series. Finally, one by one the GA-based NoGo adopts the sampled GFML to play lots of games against the baseline NoGo to obtain the winning rate of the GA-based NoGo. The acquired winning rates at the time series show that the proposed approach can work effectively and that the average winning rate of the GA-based NoGo program is much stronger than the baseline NoGo program.
關鍵字：Fuzzy ontology; Fuzzy markup language; Monte-Carlo Tree Search; Game of Go; NoGo
著作名稱：C. S. Lee, M. H. Wang, O. Teytaud, and S. J. Yen, "Human vs. machine Go competition in IEEE WCCI 2012," ICGA Journal, vol. 35, no. 4, pp. 230-236, 2012.
年度：2012
類別： 期刊論文 ICGA Journal
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著作名稱：G. Acampora, C. S. Lee, A. Vitiello, and M. H. Wang, "Evaluating cardiac health through semantic soft computing techniques," (SCI) Soft Computing-A Fusion of Foundations, Methodologies and Applications, vol.16, no. 7, pp. 1165-1181, Jul. 2012.
年度：2012
類別： 期刊論文 Soft Computing-A Fusion of Foundations, Methodologies and Applications,
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著作名稱： C. S. Lee, O. Teytaud, M. H. Wang, and S. J Yen, "Computational Intelligence Meets Game of Go @ IEEE WCCI 2012," (SCI) IEEE Computational Intelligence Magazine, vol. 7, no. 4, pp. 10-12, Nov. 2012.
年度：2012
類別： 期刊論文 IEEE Computational Intelligence Magazine
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著作名稱：C. S. Lee, M. H. Wang, H. Hagas, Z. W. Chen, S. T. Lan, S. E. Kuo, H. C. Kuo, and H. H. Cheng, "A novel genetic fuzzy markup language and its application to healthy diet assessment," (SCI) International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems, vol. 20, no. 2, pp. 247-278, Oct. 2012.
年度：2012
類別： 期刊論文 International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems
摘要：In this paper, we present a novel Genetic Fuzzy Markup Language (GFML)-based genetic fuzzy system, including the genetic learning base, the knowledge base and rule base of FML, the fuzzy inference engine, and the genetic learning mechanism. The GFML is applied to the genetic fuzzy system for dealing with the knowledge base, the rule base, and the genetic learning base of the healthy diet domain, including the ingredients and the contained servings of six food categories of some common food in Taiwan. Moreover, the proposed novel system is able to infer the healthy status of human’s daily eating. In the proposed system, the domain experts first define the nutrient facts of the common food to construct the fuzzy food ontology. Meanwhile, the involved Taiwanese students of National University of Tainan (NUTN) record their daily meals for a constant period of time. Then, based on the built fuzzy profile ontology, fuzzy food ontology, and fuzzy personal food ontology, a GFML-based genetic fuzzy system is carried out to infer the possibility of dietary healthy level for one-day meals. The experimental results show that the proposed GFML-based genetic fuzzy system gives good results for the healthy diet assessment.
關鍵字：Genetic Fuzzy Markup Language; Genetic Fuzzy System; Fuzzy Ontology; Healthy Diet.
著作名稱：C. S. Lee and M. H. Wang, “A fuzzy expert system for diabetes decision support application,” (SCI) IEEE Transactions on Systems, Man, and Cybernetics Part B, vol. 41, no. 1, pp. 139-153, Feb. 2011.
年度：2011
類別： 期刊論文
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著作名稱：G. Acampora, C. S. Lee, A. Vitiello, and M. H. Wang, "Evaluating cardiac health through semantic soft computing techniques," Soft Computing-A Fusion of Foundations, Methodologies and Applications (SCI), vol.16, no. 7, pp. 1165-1181, 2011.
年度：2011
類別： 期刊論文 Soft Computing-A Fusion of Foundations, Methodologies and Applications
摘要：Heart Rate Variability (HRV) represents a physiological phenomenon which consists in the oscillation in the interval between consecutive heartbeats. Based on the HRV analysis, cardiology experts can make a assessment for both the cardiac health and the condition of the autonomic nervous system that is responsible for controlling heart activity and, consequently, they try to prevent cardiovascular mortality. In this scenario, one of the most widely accepted and low-cost diagnostic procedures useful for deriving and evaluating the HRV is surely the electrocardiogram (ECG), i.e., a transthoracic interpretation of the electrical activity of the heart over a period of time. With the advent of modern signal processing techniques, the diagnostic power of the ECG is increased exponentially due to the huge number of features that are typically extracted from the ECG signal. Even though this expanded set of features could allow medical staffs to diagnose various pathologies in an accurate way, it is too complex to manage in a manual way and, for this reason, methods for feature representation and evaluation are necessary for supporting medical diagnosis. Starting from this consideration, this paper proposes an enhanced ECG-based decision making system exploiting a collection of ontological models representing the ECG and HRV feature sets and a fuzzy inference engine based on Type-2 Fuzzy Markup Language capable of evaluating the ECG and HRV properties related to a given person and infer detailed information about his health quality level. As will be shown in the experimental section, where the proposed approach has been tested on a set of under exams students, our diagnostic framework yields good performances both in terms of precision and recall.
關鍵字：Ontology – Fuzzy inference – Electrocardiogram (ECG) – Heart Rate Variability (HRV) – Fuzzy Markup Language (FML)
著作名稱：S. J. Yen, C. W. Chou, C. S. Lee, H. Doghmen, and O. Teytaud, "The IEEE SSCI 2011 Human vs. Computer Go Competition," (SCIE) ICGA Journal, vol. 34, no. 2, pp. 106-107, Jun. 2011.
年度：2011
類別： 期刊論文 ICGA Journal
摘要：
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著作名稱： S. J. Yen, S. Y. Chiu, C. W. Chou, C. S. Lee, H. Doghmen, F. Teytaud, and O. Teytaud, "Human vs. computer Go competition in FUZZ-IEEE 2011," ICGA Journal, vol. 34, no. 4, pp. 243-247, 2011.
年度：2011
類別： 期刊論文 ICGA Journal
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著作名稱：C. S. Lee, M. H. Wang, and H. Hagras, “A type-2 fuzzy ontology and its application to personal diabetic-diet recommendation,” (SCI) IEEE Transactions on Fuzzy Systems, vol. 18, no. 2, pp. 374-395, Apr. 2010.
年度：2010
類別： 期刊論文
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著作名稱：C. S. Lee and M. H. Wang, "Ontology-based computational intelligent multi-agent and its application to CMMI assessment," (SCI) Applied Intelligence, vol. 30, no. 3, pp. 203-219, 2009.
年度：2009
類別： 期刊論文
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著作名稱：C. S. Lee, Y. C. Chang, and M. H. Wang, "Ontological recommendation multi-agent for Tainan city travel," (SCI) Expert Systems with Applications, vol. 36, no. 3, pp. 6740-6753, 2009.
年度：2009
類別： 期刊論文
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著作名稱：C. H. Chen, T. P. Hong, V. S. Tseng, and C. S. Lee, "A genetic-fuzzy minging approach for items with multiple minimum supports," (SCI) Soft Computing-A Fusion of Foundations, Methodologies and Applications, vol. 13, no. 5, pp. 521-533, 2009.
年度：2009
類別： 期刊論文
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著作名稱：K. Y. Seo, G. K. Park, C. S. Lee, and M. H. Wang, "Ontology-based fuzzy support agent for ship steering control," (SCI) Expert Systems with Applications, vol. 36, no. 1, pp. 755-765, 2009.
年度：2009
類別： 期刊論文
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著作名稱：C. S. Lee, M. H. Wang, and J. J. Chen, "Ontology-based intelligent decision support agent for CMMI project monitoring and control," (SCI) International Journal of Approximate Reasoning, vol. 48, vol. 1, pp. 62-76, 2008.
年度：2008
類別： 期刊論文
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著作名稱：C. S. Lee, M. H. Wang, and J. J. Chen, "Ontology-based intelligent decision support agent for CMMI project monitoring and control," (SCI) International Journal of Approximate Reasoning, vol. 48, vol. 1, pp. 62-76, 2008.
年度：2008
類別： 期刊論文
摘要：
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著作名稱：C. S. Lee and M. H. Wang, "Ontological fuzzy agent for electrocardiogram application," (SCI) Expert Systems with Applications, vol. 35, no. 3, pp. 1223-1236, 2008.
年度：2008
類別： 期刊論文
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著作名稱：C-S Lee and M-H Wang, "Ontological Fuzzy Agent for Electrocardiogram Application," (SCI) Expert Systems with Applications, vol. 37, no. 3, 2007.
年度：2007
類別： 期刊論文
摘要：
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著作名稱：C-S Lee and M-H Wang, “Ontology-based Computational Intelligent Agent and Its Application to CMMI Assessment,” (SCI) International Journal of Applied Intelligence, 2007. (Accepted)
年度：2007
類別： 期刊論文
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著作名稱：C-S Lee, C-C Jiang and T-C Hsieh, “A Genetic Fuzzy Agent Using Ontology Model for Meeting Scheduling System,” (SCI) Information Sciences, vol. 176, no. 9, pp. 1131-1155, May 2006.
年度：2006
類別： 期刊論文
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著作名稱：C-S Lee, Y-H Kuo, C-H Liao, and Z-W Jian, “A Chinese Term Clustering Mechanism for Generating Semantic Concepts of a News Ontology,” Journal of Computational Linguistics and Chinese Language Processing, vol. 10, no. 2, pp. 277-302, June 2005.
年度：2005
類別： 期刊論文
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著作名稱：Y-H Kuo, C-S Lee, S-M Guo, and Y-H Chen, “Apply Object-Oriented Technology to Construct Chinese News Ontology on Internet,” (EI) Journal of Internet Technology, vol. 6, no. 4, pp. 385-394, 2005.
年度：2005
類別： 期刊論文
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著作名稱：C-S Lee, Z-W Jian, and L-K Huang, “A Fuzzy Ontology and Its Application to News Summarization,” (SCI) IEEE Transactions on Systems, Man and Cybernetics Part B, vol. 35, no. 5, pp. 859-880, Oct. 2005.
年度：2005
類別： 期刊論文
摘要：
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著作名稱：C-S Lee, S-M Guo, and C-Y Hsu, “Genetic-based Fuzzy Image Filter and Its Application to Image Processing,” (SCI) IEEE Transactions on Systems, Man and Cybernetics Part B, vol. 35, no. 4, pp. 694-711, Aug. 2005.
年度：2005
類別： 期刊論文
摘要：
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著作名稱：S-M Guo, C-S Lee, and C-Y Hsu, “An Intelligent Image Agent based on Soft-Computing Techniques for Color Image Processing,” (SCI) Expert Systems with Applications, vol. 28, no. 3, pp. 483-494, 2005.
年度：2005
類別： 期刊論文
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著作名稱：C-S Lee, J-C Du, Z-W Jian, Y-H Kuo, and C-K Hung “Ontology-based Measurement and Analysis Web Service for Supporting CMMI Level 2 Assessment,” WSEAS Transactions on Information Science and Applications, vol. 1, Issue 6, pp. 1569-1574, Dec. 2004.
年度：2004
類別： 期刊論文
摘要：
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著作名稱：C-S Lee and C-Y Pan, “An Intelligent Fuzzy Agent for Meeting Scheduling Decision Support System,” (SCI) Fuzzy Sets and Systems, vol. 142, no. 3, pp. 467-488, 2004.
年度：2004
類別： 期刊論文
摘要：
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著作名稱：Y-H Kuo, C-S Lee, S-M Guo, and F-T Tu, “Apply FNN Model to Construct Ontology-based Q&A System,” WSEAS Transactions on Communications, vol. 3, Issue 1, pp. 328-335, Jan. 2004.
年度：2004
類別： 期刊論文
摘要：
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著作名稱：C-S Lee, Y-J Chen and Z-W Jian, “Ontology-based Fuzzy Event Extraction Agent for Chinese e-News Summarization,” (SCI) Expert Systems with Applications, vol. 25, no. 3, pp. 431-447, 2003.
年度：2003
類別： 期刊論文
摘要：
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著作名稱：李健興、陳雅絹、郭雅琪、莊宏翊，“基於Ontology之中文文件自動摘要技術之研究”，輔仁管理評論，2003.
年度：2003
類別： 期刊論文
摘要：
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著作名稱：C-S Lee, C-P Chen, H-J Chen, and Y-H Kuo, “A Fuzzy Classification Agent for Personal e-News Service,” (EI) International Journal of Fuzzy Systems, vol. 4, no. 4, 2002.
年度：2002
類別： 期刊論文
摘要：
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著作名稱：Y-H Kuo, C-S Lee and C-L Chen, ”High-stability AWFM filter for signal restoration and its hardware design,” (SCI) Fuzzy Sets and Systems, vol. 114, no. 2, pp. 185-202, 2000.
年度：2000
類別： 期刊論文
摘要：
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著作名稱：C-S Lee and Y-H Kuo, “The important properties and applications of AWFM filter,” (SCI) International Journal of Intelligent Systems, vol. 14, pp. 253-274, 1999.
年度：1999
類別： 期刊論文
摘要：
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著作名稱：Y-H Kuo, C-S Lee and C-L Chen, “Multi-dimensional WFM filter and its hardware realization for impulse noise removal,” (EI) Proceedings of NSC, vol. 22, no. 5, pp. 677-690, 1998.
年度：1998
類別： 期刊論文
摘要：
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著作名稱：C-S Lee, Y-H Kuo, and P-T Yu, “Weighted fuzzy mean filters for image processing,” (SCI) Fuzzy Sets and Systems, vol. 89, no. 2, pp. 157-180, Jul. 1997.
年度：1997
類別： 期刊論文
摘要：
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著作名稱：Human intelligence-based Metaverse for co-learning of students and smart machines
年度：2023
類別： 期刊論文 Journal of Ambient Intelligence and Humanized Computing
摘要：This paper proposes a Human Intelligence (HI)-based Computational Intelligence (CI) and Artificial Intelligence (AI) Fuzzy Markup Language (CI&AI-FML) Metaverse as an educational environment for co-learning of students and machines. The HI-based CI&AI-FML Metaverse is based on the spirit of the Heart Sutra that equips the environment with teaching principles and cognitive intelligence of ancient words of wisdom. There are four stages of the Metaverse: preparation and collection of learning data, data preprocessing, data analysis, and data evaluation. During the data preparation stage, the domain experts construct a learning dictionary with fuzzy concept sets describing different terms and concepts related to the course domains. Then, the students and teachers use the developed CI&AI-FML learning tools to interact with machines and learn together. Once the teachers prepare relevant material, students provide their inputs/texts representing their levels of understanding of the learned concepts. A Natural Language Processing (NLP) tool, Chinese Knowledge Information Processing (CKIP), is used to process data/text generated by students. A focus is put on speech tagging, word sense disambiguation, and named entity recognition. Following that, the quantitative and qualitative data analysis is performed. Finally, the students’ learning progress, measured using progress metrics, is evaluated and analyzed. The experimental results reveal that the proposed HI-based CI&AI-FML Metaverse can foster students motivation to learn and improve their performance. It has been shown in the case of young students studying Software Engineering and learning English.
關鍵字：Human intelligence，CI&AI-FML Metaverse，Natural language processing，Student and machine co-learning，Learning performance
著作名稱：FML-based reinforcement learning agent with fuzzy ontology for human-robot cooperative edutainment
年度：2020
類別： 期刊論文 International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
摘要：The currently observed developments in Artificial Intelligence (AI) and its influence on different types of industries mean that human-robot cooperation is of special importance. Various types of robots have been applied to the so-called field of Edutainment, i.e., the field that combines education with entertainment. This paper introduces a novel fuzzy-based system for a human-robot cooperative Edutainment. This co-learning system includes a brain-computer interface (BCI) ontology model and a Fuzzy Markup Language (FML)-based Reinforcement Learning Agent (FRL-Agent). The proposed FRL-Agent is composed of (1) a human learning agent, (2) a robotic teaching agent, (3) a Bayesian estimation agent, (4) a robotic BCI agent, (5) a fuzzy machine learning agent, and (6) a fuzzy BCI ontology. In order to verify the effectiveness of the proposed system, the FRL-Agent is used as a robot teacher in a number of elementary schools, junior high schools, and at a university to allow robot teachers and students to learn together in the classroom. The participated students use handheld devices to indirectly or directly interact with the robot teachers to learn English. Additionally, a number of university students wear a commercial EEG device with eight electrode channels to learn English and listen to music. In the experiments, the robotic BCI agent analyzes the collected signals from the EEG device and transforms them into five physiological indices when the students are learning or listening. The Bayesian estimation agent and fuzzy machine learning agent optimize the parameters of the FRL agent and store them in the fuzzy BCI ontology. The experimental results show that the robot teachers motivate students to learn and stimulate their progress. The fuzzy machine learning agent is able to predict the five physiological indices based on the eight-channel EEG data and the trained model. In addition, we also train the model to predict the other students’ feelings based on the analyzed physiological indices and labeled feelings. The FRL agent is able to provide personalized learning content based on the developed human and robot cooperative edutainment approaches. To our knowledge, the FRL agent has not applied to the teaching fields such as elementary schools before and it opens up a promising new line of research in human and robot co-learning. In the future, we hope the FRL agent will solve such an existing problem in the classroom that the high-performing students feel the learning contents are too simple to motivate their learning or the low-performing students are unable to keep up with the learning progress to choose to give up learning.
關鍵字：Fuzzy markup language, reinforcement learning, agent, human-robot co-learning, fuzzy ontology
著作名稱：K-K Chu,C-S Lee, and C-I Lee, "Ontology-Based Campus Web Services for Information Exchange ," (EI) Journal of Internet Technology, vol. 7, no. 4, pp375-385 ,2006.
年度：2006
類別： 期刊論文
摘要：
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著作名稱：Adaptive fuzzy neural agent for human and machine co-learning
年度：2021
類別： 期刊論文 International Journal of Fuzzy Systems
摘要：This paper proposes an Adaptive Fuzzy Neural Agent (AFNA) with a Patch Learning Mechanism and IEEE 1855 Fuzzy Markup Language (FML) for human and machine co-learning. There are three phases of patch learning mechanism embedded in AFNA, including (1) training an initial global model, (2) training a patch model for each identified patch, and (3) updating the global model using the training data that do not fall into any patch. The AFNA can be applied to construct the student and robot co-learning regression model, as well as the regression model for the data set retrieved from the game of Go. First, students generate human learning data through interactions with handheld devices or robots based on the AFNA in Taiwan and Japan. Then, the AFNA utilizes the student learning data collected in the classroom and the Go game data provided by both Google DeepMind and Facebook AI Research (FAIR) open-source OpenGo to train the Fuzzy Machine Learning Model. In addition, the trained Fuzzy Machine Learning Model of AFNA is deployed to the robots to make students and machines co-learn together based on IEEE 1855 FML. The experiments show that the AFNA with Patch Learning Mechanism and Fuzzy Machine Learning Model can improve the performance of regression model based on the data sets of student learning and Go game. In the future, we hope to apply the AFNA with robots to the other domain areas, embed it with the Artificial Intelligence of Things (AIoT) devices, and introduce it to more teaching fields in various countries.
關鍵字：Fuzzy Markup Language, Agent, Fuzzy Machine Learning, Robot, Patch Learning
著作名稱：BCI-based hit-loop agent for human and AI robot co-learning with AIoT application
年度：2021
類別： 期刊論文 Journal of Ambient Intelligence and Humanized Computing
摘要：In this paper, we propose a brain–computer interface (BCI)-based Human-in-the-Loop (Hit-Loop) agent for human and artificial intelligence (AI) colearning in music listening and appreciation with an Artificial Intelligence of Things (AIoT) application. The novel BCI-based Hit-Loop agent contains human intelligence with BCI-based AIoT-Fuzzy Markup Language (FML) and BCI-FML agents, as well as machine intelligence with AI-FML Hit-Loop and AIoT-FML agents. We used FML to facilitate communication between humans and the AI-FML robots through an AIoT-FML Learning Tool (AIoT-FML-LT), which was the core technology of the AI-FML Hit-Loop agent for the BCI-based music listening and appreciation application. Furthermore, the novel AIoT-FML-LT in conjunction with the BCI-FML and AIoT-FML agents was developed and presented for music listening and student learning. Moreover, the BCI-based AIoT-FML and AI-FML Hit-Loop agents were applied in English language learning, and the AIoT-FML-LT assisted in measuring student learning performance in Taiwan and Japan. The human-like high-level knowledge base and rule base were constructed by various domain experts, as well as the personalized electroencephalography (EEG) and student English learning data sets collected using the BCI device and AIoT-FML-LT, respectively, and were applied to machine learning models such as deep learning and particle swarm optimization. Additionally, the AIoT-FML-LT was connected to the AIoT-FML Hit-Loop agent for human and robot colearning. The relationship between human perceptions and the AIoT-FML Hit-Loop agent in terms of eyes, ears, nose, tongue, body, and brain corresponding to sights, sounds, smells, tastes, objects of touch, and mind are discussed. Finally, the students learned human language and AI language by using the AI-FML robots and AIoT-FML-LT together with the human English learning and AI-FML machine learning models, respectively. The experimental results reveal that the BCI-based Hit-Loop agent for human and AI-FML robot colearning in conjunction with AIoT applications can effectively facilitate music listening and appreciation application as well as English listening in Taiwan and Japan. The learning behavior and performance of the students also improved after incorporation of the human and robot colearning model.
關鍵字：Fuzzy Markup Language, Brain-Computer Interface (BCI), Human-in-the-Loop (Hit-Loop), Agent, Human and Robot Co-Learning, AIoT-FML Learning Tool
著作名稱：C. W. Chou, P. C. Chou, J. J Christophe, A. Couetoux, P. D. Freminville, N. Galichet, C. S. Lee, J. L. Liu, D. L. Saint-Pierre, M. Sebag, O. Teytaud, M. H. Wang, L. W. Wu, and S. J. Yen, "Strategic choices in optimization," (SCI) Journal of Information Science and Engineering, vol. 30, no. 3, pp. 727-747, May 2014.
年度：2014
類別： 期刊論文 Journal of Information Science and Engineering
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著作名稱：H. D. Huang, C. S. Lee, M. H. Wang, and H. Y. Kao, "IT2FS-based ontology with soft-computing mechanism for malware behavior analysis," (SCI) Soft Computing, vol. 18, no. 2, pp. 267-284, Feb. 2014.
年度：2014
類別： 期刊論文 Soft Computing
摘要：Antimalware application is one of the most important research issues in the area of cyber security threat. Nowadays, because hackers continuously develop novel techniques to intrude into computer systems for various reasons, many security researchers should analyze and track new malicious program to protect sensitive and valuable information in the organization. In this paper, we propose a novel soft-computing mechanism based on the ontology model for malware behavioral analysis: Malware Analysis Network in Taiwan (MAN in Taiwan, MiT). The core techniques of MiT contain two parts listed as follows: (1) collect the logs of network connection, registry, and memory from the operation system on the physical-virtual hybrid analysis environment to get and extract more unknown malicious behavior information. The important information is then extracted to construct the ontology model by using the Web Ontology Language and Fuzzy Markup Language. Additionally, MiT is also able to automatically provide and share samples and reports via the cloud storage mechanism; (2) apply the techniques of Interval Type-2 Fuzzy Set to construct the malware analysis domain knowledge, namely the Interval Type-2 Fuzzy Malware Ontology (IT2FMO), for malware behavior analysis. Simulation results show that the proposed approach can effectively execute the malware behavior analysis, and the constructed system has also released under GNU General Public License version 3. In the future, the system is expected to largely collect and analyze malware samples for providing industries or universities to do related applications via the established IT2FMO.
關鍵字：Malware behavioral analysis, Type-2 fuzzy set, Ontology, Fuzzy markup language, Soft computing
著作名稱：C. S. Lee, M. H. Wang, S. J. Yen, Y. J. Chen, C. W. Chou, G. Chaslot, J. B. Hoock, A. Rimmel, and H. Doghmen, “An ontology-based fuzzy inference system for computer Go applications,” (SCIE) International Journal of Fuzzy Systems, vol. 12, no. 2, pp. 103-115, June 2010.
年度：2010
類別： 期刊論文
摘要：
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著作名稱：C. S. Lee, M. H. Wang, G. Acampora, C. Y. Hsu, and H. Hagras, “A type-2 fuzzy markup language based Ontology and its Application to diet assessment,” (SCIE) International Journal of Intelligent System, vol. 25, no. 12, pp. 1187-1216, Dec. 2010.
年度：2010
類別： 期刊論文
摘要：
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著作名稱：M. H. Wang, C. S. Lee, Y. L. Wang, M. C. Cheng, O. Teytaud, and S. J. Yen, “2010 Invited Game for MoGoTW vs. Human Go Player in Taiwan,” ICGA Journal (SCI-E), vol. 33, no. 1, pp. 47-50, Mar. 2010.
年度：2010
類別： 期刊論文
摘要：
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著作名稱：J. H. Hoock, C. S. Lee, A. Rimmel, F. Teytaud, O. Teytaud, and M. H. Wang, “Intelligent Agents for the Game of Go,” IEEE Computational Intelligence Magazine, vol. 5, no. 4, pp. 28-42, Nov. 2010.
年度：2010
類別： 期刊論文
摘要：
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著作名稱：C. S. Lee, M. H. Wang, O. Teytaud, and Y. L. Wang, “The Game of Go @ IEEE WCCI 2010,” IEEE Computational Intelligence Magazine, vol. 5, no. 4, pp. 6-7, Nov. 2010.
年度：2010
類別： 期刊論文
摘要：
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著作名稱：S. Billouet, J. H. Hoock, C. S. Lee, O. Teytaud, and S. J. Yen, “First computer wins in 9x9 Go for black with komi 7.5”, ICGA Journal, vol. 32, no. 4, pp. 241-245, Dec. 2009.
年度：2009
類別： 期刊論文
摘要：
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著作名稱：7. S. J. Yen, C. S. Lee, and O. Teytaud, “Human vs. computer Go competition in FUZZ-IEEE 2009,” ICGA Journal, vol. 32, no. 3, pp. 178-180, Sept. 2009.
年度：2009
類別： 期刊論文
摘要：
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著作名稱：C. Chaslot, J. B. Hoock, A. Rimmel, O. Teytaud, C. S. Lee, M. H. Wang, S. R. Tsai, and S. C. Hsu, “Human-Computer Go Revolution 2008,” ICGA Journal, vol. 31, no. 3, pp. 179-185, Dec. 2008.
年度：2008
類別： 期刊論文
摘要：
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著作名稱：M. H. Wang, C. S. Lee, Z. R. Yan, H. H. Chuang, C. F. Lo, and Y. C. Lin, "A novel fuzzy CMMI ontology and its application to project estimation," (SCIE) Journal of Internet Technology, vol. 9, no. 4, pp. 317-325, 2008.
年度：2008
類別： 期刊論文
摘要：
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著作名稱：M. H. Wang, C. S. Lee, Z. R. Yan, H. H. Chuang, C. F. Lo, and Y. C. Lin, "A novel fuzzy CMMI ontology and its application to project estimation," (SCIE) Journal of Internet Technology, vol. 9, no. 4, pp. 317-325, 2008.
年度：2008
類別： 期刊論文
摘要：
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著作名稱：C. H. Liu, C. S. Lee, M. H. Wang, Y. Y. Tseng, Y. L. Kuo, and Y. C. Lin, "Apply fuzzy ontology and FML to knowledge extraction for university governance and management," Journal of Ambient Intelligence and Humanized Computing, vol. 4, no. 4, pp. 493-513, 2013.
年度：2013
類別： 期刊論文 Journal of Ambient Intelligence and Humanized Computing
摘要：Antimalware application is one of the most important research issues in the area of cyber security threat. Nowadays, because hackers continuously develop novel techniques to intrude into computer systems for various reasons, many security researchers should analyze and track new malicious program to protect sensitive and valuable information in the organization. In this paper, we propose a novel soft-computing mechanism based on the ontology model for malware behavioral analysis: Malware Analysis Network in Taiwan (MAN in Taiwan, MiT). The core techniques of MiT contain two parts listed as follows: (1) collect the logs of network connection, registry, and memory from the operation system on the physical-virtual hybrid analysis environment to get and extract more unknown malicious behavior information. The important information is then extracted to construct the ontology model by using the Web Ontology Language and Fuzzy Markup Language. Additionally, MiT is also able to automatically provide and share samples and reports via the cloud storage mechanism; (2) apply the techniques of Interval Type-2 Fuzzy Set to construct the malware analysis domain knowledge, namely the Interval Type-2 Fuzzy Malware Ontology (IT2FMO), for malware behavior analysis. Simulation results show that the proposed approach can effectively execute the malware behavior analysis, and the constructed system has also released under GNU General Public License version 3. In the future, the system is expected to largely collect and analyze malware samples for providing industries or universities to do related applications via the established IT2FMO.
關鍵字：Malware behavioral analysis,  Type-2 fuzzy set,  Ontology,  Fuzzy markup language,  Soft computing
著作名稱：羅啟芳, 王美慧, 李健興, 王元良, 林明達, 林懿貞, "CMMI組織流程定義知識管理之研究-以南大電算中心為例," 臺南大學理工研究學報, vol. 44. no. 1, pp. 54-77, Apr. 2010.
年度：2010
類別： 期刊論文
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著作名稱：A. Rimmel, O. Teytaud, C. S. Lee, S. J. Yen, M. H. Wang, and S. R. Tsai, “Current frontiers in computer Go,” IEEE Transactions on Computational Intelligence and AI in Games, vol. 2, no. 4, pp. 229-238. Dec. 2010.
年度：2010
類別： 期刊論文
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著作名稱：C. S. Lee, M. Mueller, and O. Teytaud, “Special Issue on Monte Carlo Techniques and Computer Go,” IEEE Transactions on Computational Intelligence and AI in Games, vol. 2, no. 4, pp. 225-228. Dec. 2010.
年度：2010
類別： 期刊論文
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著作名稱：M. H. Wang, C. S. Lee, K. L. Hsieh, C. Y. Hsu, G. Acampora, V. Loia, and C. C. Chang, “Ontology-based multi-agents for intelligent healthcare applications,” Journal of Ambient Intelligence and Humanized Computing, vol. 1, no. 2, pp. 111-131, Jun. 2010.
年度：2010
類別： 期刊論文
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著作名稱：C. S. Lee, M. H. Wang, C. Chaslot, J. B. Hoock, A. Rimmel, O. Teytaud, S. R. Tsai, S. C. Hsu, and T. P. Hong, “The computational intelligence of MoGo revealed in Taiwan’s computer Go tournaments,” IEEE Transactions on Computational Intelligence and AI in Games, vol. 1, no. 1, pp. 73-89, Mar. 2009.
年度：2009
類別： 期刊論文
摘要：abstract
關鍵字：keyword
著作名稱：H-C Wang, C-S Lee, and T-H Ho, "Combining Subjective and Objective QoS Factors for Personalized Web Service Selection" (SCI) Expert Systems with Applications, vol. 32, no. 2, pp. 571-584, 2007.
年度：2007
類別： 期刊論文
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著作名稱：C-S Lee, Y-F Kao, Y-H Kuo and M-H Wang, "Automated Ontology Construction for Unstructured Text Documents" (SCI) Data & Knowledge Engineering, vol. 60. no. 3, pp. 547-566, 2007.
年度：2007
類別： 期刊論文
摘要：
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著作名稱：C-S Lee, M-H Wang, and J-J Chen, "Ontology-based Intelligent Decision Support Agent for CMMI Project Monitoring and Control " (SCI) International Journal of Approximate Reasoning, 2007. (Accepted)
年度：2007
類別： 期刊論文
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著作名稱：李健興, 郭怡鈴, 王元良, 梁鴻德, 林雅雯, 陳彥良, 王美慧, 朱明毅, "基於CMMI資訊安全管理系統之研究," 臺南大學理工研究學報, vol. 44, no. 2, pp. 61-88, Oct. 2010.
年度：2010
類別： 期刊論文
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著作名稱：羅啟芳, 王美慧, 李健興, 王元良, 林明達, 林懿貞, "CMMI組織流程定義知識管理之研究-以南大電算中心為例," 臺南大學理工研究學報, vol. 44, no. 1, pp. 54-77, Apr. 2010.
年度：2010
類別： 期刊論文
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著作名稱：李健興, 莊皓涵, 劉瑋民, 林雅雯, 王惠民, 林懿貞, "基於CMMI之VIOP知識管理研究-以國立臺南大學網路電話產學合作建置案為例," 臺南大學理工研究學報, vol. 43, no. 2, pp. 71-78, Oct. 2009.
年度：2009
類別： 期刊論文
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著作名稱：李健興, 黃雅琴, 王美慧, 張智凱, "基於CMMI之專案本體論於知識管理系統之應用," 智慧科技與應用統計學報, vol. 6, no. 3, pp. 157-172, Dec. 2008.
年度：2008
類別： 期刊論文
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著作名稱：C-S Lee and M-H Wang, "Ontology-based Intelligent Healthcare Agent and Its Application to Respiratory Waveform Recognition" Expert Systems with Applications, vol. 33, no. 3, ,PP.606-619,2007.
年度：2007
類別： 期刊論文
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著作名稱：王美慧、李健興、蔡岳廷、李漢超, 「應用模糊推論機制於心電圖R波偵測之研究」, 智慧科技與應用統計學報, vol. 4, no. 2, 2007.
年度：2007
類別： 期刊論文
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著作名稱：C-S Lee、M-H Wang、C-Y Hsu, “Ontological Intelligent Agent for Impulse Noise Removal ,” Journal of Computer, vol.19 ,no.5 ,2007.
年度：2007
類別： 期刊論文
摘要：
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著作名稱：李健興、張詠淳、黃雅琴、郭耀煌、許舜欽，“基於Ontology之專案監控知識管理之研究”，南大學報，第40卷第1期，2006.
年度：2006
類別： 期刊論文
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著作名稱：李健興、郭琬姿、林懿貞，“基於知識本體之CMMI專案規劃之研究 ”，真理知識經濟學報，Vol.1 No.1 pp47-69, Aug.2006.
年度：2006
類別： 期刊論文
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著作名稱：李健興、張詠淳、陳瑞仁、許舜欽，"CMMI問答知識本體建構技術之研究 "， 創新與管理期刊，第3卷 第2期，pp. 1-24，2006.
年度：2006
類別： 期刊論文
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著作名稱：Fuzzy ontology-based intelligent agent for high-school student learning in AI-FML Metaverse
年度：2022
類別： 會議論文
摘要：This article applies the fuzzy ontology concepts of Heart Sutra to artificial intelligence (AI) for elementary and high-school students learning English and fuzzy markup language (FML) in AI-FML Metaverse. Computational Intelligence (CI) is an imperative branch of AI and it includes fuzzy logic (FL), neural network (NN), and evolutionary computation (EC). Based on the technologies of reinforcement learning (RL), intelligent agent, ontology, and AI-FML human and machine co-learning, we propose a fuzzy ontology-based intelligent agent for young students to learn and experience CI applications, including basic concepts of FL, NN, and EC, on the AI-FML Metaverse platform. Additionally, we combine the core technologies of fuzzy ontology and AI-FML with the tenets of the Heart Sutra for constructing the intelligent agent in the AI-FML Metaverse with computational, perceptive, and cognitive intelligence. Moreover, we also apply the human semantic understanding of the Heart Sutra to explain the concept of the AI-FML Metaverse platform to elementary and high-school students to learn and experience CI. The intelligent agent interacts with the environment of the learning field and AI-FML Metaverse, it can help teachers and students evaluate learners’ interest in each episode’s learning content. Finally, it predicts their learning temperature in thermometers to present learners’ performance in the learning contents, such as English or CI application. After evaluating the implementation of AI-FML Metaverse in the elementary school (grades 5-6), junior high school (grades 7-8), and senior high school (grades 10-12) students in Taiwan, we observe that the intelligent agent can work effectively and students’ learning thermometer has an increasing tendency at the end of the 2021 fall semesters in AI-FML Metaverse and 2022 AI-FML winter camp in Taiwan.
關鍵字：Fuzzy Ontology, Fuzzy Markup Language, High-School Student Learning, Intelligent Agent, AI-FML Metaverse
著作名稱：Computational intelligence & AI-FML experience model for pre-university student learning and practice
年度：2022
類別： 會議論文
摘要：This paper presents the Computational Intelligence (CI) and Artificial Intelli-gence (AI)- Fuzzy Markup Language (CI&AI-FML) learning model, called the CI&AI-FML human and machine co-learning model, for pre-university students to experience and practice CI&AI-FML. Since 2019, we have en-gaged much in interacting and working with teachers to teach pre-university students the basic concepts of computational intelligence, such as fuzzy sets and evolutionary computing in real-world applications. To inspire and en-courage more pre-university students to attend these CI&AI-FML learning and experience activities, we organized a CI&AI-FML Machine Learning Competition @ IEEE WCCI 2022 and a workshop on AI-FML Robotic Learning with AIoT (AI of Things) Applications @ 2022 IEEE CIS Summer School in Taiwan. In these events, we prepare the key but simple concepts of the CI for pre-university students learning and practice, for example, learners can practice AI-FML learning tools with Augmented Creativity (AR) and Google Teachable Machine to travel recommendation applications. From the experimental results, this kind of learning model is suitable for pre-university students to experience and practice CI for real-world applications. In the fu-ture, we hope to encourage more young students and researchers to work with CI techniques and methods for real-world applications.
關鍵字：Computational Intelligence, AI-Fuzzy Markup Language (FML), Pre-University Student Learning and Practice, Human-Machine Co-learning
著作名稱：AI-FML agent for robotic game of Go and AIoT real-world co-learning applications
年度：2020
類別： 會議論文
摘要：In this paper, we propose an AI-FML agent for robotic game of Go and AIoT real-world co-learning applications. The fuzzy machine learning mechanisms are adopted in the proposed model, including fuzzy markup language (FML)-based genetic learning (GFML), eXtreme Gradient Boost (XGBoost), and a seven-layered deep fuzzy neural network (DFNN) with backpropagation learning, to predict the win rate of the game of Go as Black or White. This paper uses Google AlphaGo Master sixty games as the dataset to evaluate the performance of the fuzzy machine learning, and the desired output dataset were predicted by Facebook AI Research (FAIR) ELF Open Go AI bot. In addition, we use IEEE 1855 standard for FML to describe the knowledge base and rule base of the Open Go Darkforest (OGD) prediction platform in order to infer the win rate of the game. Next, the proposed AI-FML agent publishes the inferred result to communicate with the robot Kebbi Air based on MQTT protocol to achieve the goal of human and smart machine co-learning. From Sept. 2019 to Jan. 2020, we introduced the AI-FML agent into the teaching and learning fields in Taiwan. The experimental results show the robots and students can co-learn AI tools and FML applications effectively. In addition, XGBoost outperforms the other machine learning methods but DFNN has the most obvious progress after learning. In the future, we hope to deploy the AI-FML agent to more available robot and human co-learning platforms through the established AI-FML International Academy in the world.
關鍵字：Intelligent Agent, Robot, Fuzzy Machine Learning, Game of Go, AIoT
著作名稱：A study on AI-FML robotic agent for student learning behavior ontology construction
年度：2020
類別： 會議論文
摘要：In this paper, we propose an AI-FML robotic agent for student learning behavior ontology construction which can be applied in English speaking and listening domain. The AI-FML robotic agent with the ontology contains the perception intelligence, computational intelligence, and cognition intelligence for analyzing student learning behavior. In addition, there are three intelligent agents, including a perception agent, a computational agent, and a cognition agent in the AI-FML robotic agent. We deploy the perception agent and the cognition agent on the robot Kebbi Air. Moreover, the computational agent with the Deep Neural Network (DNN) model is performed in the cloud and can communicate with the perception agent and cognition agent via the Internet. The proposed AI-FML robotic agent is applied in Taiwan and tested in Japan. The experimental results show that the agents can be utilized in the human and machine co-learning model for the future education.
關鍵字：Robots , Cognition , Artificial intelligence , Ontologies , Speech recognition , Education , Neural networks
著作名稱：AI-FML agent with patch learning mechanism for robotic game of Go application
年度：2020
類別： 會議論文
摘要：In this paper, we propose an AI-FML agent with a patch learning (PL) mechanism for the robotic game of Go applications. The proposed AI-FML agent contains three kinds of intelligence, including a perception intelligence, a cognition intelligence, and computational intelligence, for the robotic application. Additionally, we embed the PL mechanism into the AI-FML agent. The method for running PL involves three steps. It first trains an initial global model, then trains a patch model for each identified patch, and finally updates the global model using the training data that do not fall into any patch. This paper adopts the Google DeepMind Master 60 games to be the training data and testing data set. The experimental results show the AI-FML agent with the patch learning mechanism can improve the performance of regression for the robotic game of Go applications.
關鍵字：Learning systems , Computational modeling , Training data , Games , Data models , Robots , Testing
著作名稱：Ontology-based fuzzy markup language agent for student and robot co-learning
年度：2018
類別： 會議論文
摘要：
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著作名稱：Ontology-based adaptive e-textbook platform for student and machine co-learning
年度：2018
類別： 會議論文
摘要：
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著作名稱：Fuzzy semantic agent based on ontology model for Chinese lyrics classification
年度：2018
類別： 會議論文
摘要：
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著作名稱：GFML-based IRT agent for online self-learning platform construction
年度：2016
類別： 會議論文
摘要：
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著作名稱：FML-based feature similarity assessment agent for Japanese/Taiwanese language learning
年度：2016
類別： 會議論文
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著作名稱：Intelligent investigation mechanism based on fuzzy markup language for social media application
年度：2016
類別： 會議論文
摘要：
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著作名稱：C. S. Lee,M. J. Wu, M. H. Wang, O. Teytaud, H. M. Wang, and S. J. Yen, "T2FML-based adaptive assessment system for computer game of Go," 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2013), Hyderabad, India, Jul. 7-10, 2013.
年度：2013
類別： 會議論文
摘要：
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著作名稱：M. H. Wang, Y. T. Tsai, K. H. Lin, C. S. Lee, and C. H. Liu, "FML-based decision support system for solar energy supply and demand analysis," 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2013), Hyderabad, India, Jul. 7-10, 2013.
年度：2013
類別： 會議論文
摘要：
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著作名稱：K. Kurozumi, S. T. Lan, M. H. Wang, C. S. Lee, M. Kawaguchi, S. Tsumoto, and H. Tsuji, "FML-based Japanese diet assessment system," 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2013), Hyderabad, India, Jul. 7-10, 2013.
年度：2013
類別： 會議論文
摘要：
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著作名稱：H. D. Huang, C. S. Lee, M. H. Wang, and H. Y. Kao, "An IT2FLS-based malware analysis mechanism: malware analysis network in Taiwan (MiT)," 2013 IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2013), Manchester, UK, Oct. 13-16, 2013.
年度：2013
類別： 會議論文
摘要：
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著作名稱：. S. Lee, M. H. Wang, I. H. Chen, S. W. Lin, and P. H. Hung, "Adaptive fuzzy ontology for student assessment," 9th International Conference on Information, Communication and Signal Processing (ICICS 2013), Tainan, Taiwan, Dec. 10-13, 2013.
年度：2013
類別： 會議論文
摘要：
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著作名稱：C. S. Lee, M. H. Wang, M. J. Wu, O. Teytaud, and S. J. Yen, "Adaptive Assessment System for Human Performance Evaluation on Game of Go," 2013 International Conference on Fuzzy Theory and Its Application (iFuzzy 2013), Taipei, Taiwan, Dec. 6-8, 2013.
年度：2013
類別： 會議論文
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著作名稱：W. T. Lin, M. H. Wang, C. S. Lee, K. Kurozumi, and Y. Majima, "FML-based recommender system for restaurants," 2013 Conference on Technologies and Applications of Artificial Intelligence, Taipei, Taiwan, Dec. 6-8, 2013.
年度：2013
類別： 會議論文
摘要：
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著作名稱：C. S. Lee, M. H. Wang, M. J. Wu, Y. Nakagawa, H. Tsuji, Y. Yamazaki, and K. Hirota, "FML-based emotional expression system for computer Go application," 2012 World Congress Computational Intelligence (IEEE WCCI 2012), Brisbane, Australia, Jan. 10-15, 2012.
年度：2012
類別： 會議論文
摘要：
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著作名稱：C. H. Liu, C. S. Lee, M. H. Wang, Y. Y. Tseng, and Y. L. Kuo, "FML-based knowledge management system for university governance and management assessment," 2012 World Congress Computational Intelligence (IEEE WCCI 2012), Brisbane, Australia, Jan. 10-15, 2012.
年度：2012
類別： 會議論文
摘要：
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著作名稱：H. D. Huang, H. Hagras, C. S. Lee, and H. Y. Kao, "TWMAN+: A Type-2 Fuzzy Ontology Model for Malware Behavior Analysis," 2012 IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2012), Seoul, Korea, Oct. 14-17, 2012.
年度：2012
類別： 會議論文
摘要：
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著作名稱：P. C. Chou, S. J. Yen, C. W. Chou, J. R. Lin, C. S. Lee, O. Teytaud, and H. Doghmen, "A Simple Tsumego Generator," The 17th Game Programming Workshop 2012 (GPW-12), Hakone, Japan, Nov. 9-11, 2012.
年度：2012
類別： 會議論文
摘要：
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著作名稱：C. W. Chou, P. C. Chou, C. S. Lee, D. L. St-Pierre, O. Teytaud, M. H. Wang, L. W. Wu and S. J. Yen, "Strategic Choices: Small Budgets and Simple Regret," The 2012 Conference on Technologies and Applications of Artificial Intelligence (TAAI 2012), Tainan, Taiwan, Nov. 16-18, 2012.
年度：2012
類別： 會議論文
摘要：
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著作名稱：O. Buffet, C. S. Lee, W. T. Lin, and O. Teytaud, "Optimistic Heuristics for Mines Sweeper," 2012 International Computer Symposium (ICS2012), Hualien, Taiwan, Dec. 12-14, 2012.
年度：2012
類別： 會議論文
摘要：
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著作名稱：C. W. Chou, P. C. Chou, H. Doghmen, C. S. Lee, T. C. Su, F. Teytaud, O. Teytaud, H. M. Wang, M. H. Wang, L. W. Wu, and S. J. Yen, "Towards a solution of 7x7 Go with Meta-MCTS," Advances in Computer Games 13 Conference (ACG13), Tilburg, The Netherlands, Nov. 20-22, 2011.
年度：2011
類別： 會議論文
摘要：
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著作名稱：B. Helmstetter, C. S. Lee, M. H. Wang, F. Teytaud, O. Teytaud, S. J. Yen, "Random Positions in Go," in Proceeding of 2011 IEEE Conference on Computational Intelligence and Games (IEEE CIG 2011), Seoul, Korea, Aug. 31-Sept. 3, 2011, pp. 250-257.
年度：2011
類別： 會議論文
摘要：
關鍵字：
著作名稱：P. C. Chou, H. Doghmen, C. S. Lee, F. Teytaud, O. Teytaud, H. M. Wang, M. H. Wang, L. W. Wu, and S. J. Yen, "Computational and Human Intelligence in Blind Go," 2011 IEEE Conference on Computational Intelligence and Games (IEEE CIG 2011), Seoul, Korea, Aug. 31-Sept. 3, 2011.
年度：2011
類別： 會議論文
摘要：
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著作名稱：C. S. Lee, Y. J. Chen, M. H. Wang, and H. Hagras, "Fuzzy markup language for game of NoGo," 2011 IEEE Conference on Granular Computing(IEEE Grc 2011), Kaohsiung, Taiwan, Nov.8-10, 2011.
年度：2011
類別： 會議論文
摘要：
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著作名稱：C. S. Lee, M. H. Wang, M. K. Su, N. Y. Wu, C. H. Liu, Y. Y. Tseng, Y. L. Wang, and H. M. Wang, "Fuzzy markup language for university assessment," 2011 IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2011), Anchorage, Alaska, USA, Oct. 9-12, 2011.
年度：2011
類別： 會議論文
摘要：
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著作名稱： Y. Yamazaki, C. S. Lee, T. Hashimoto, F. Dong, and K. Hirota, "Presence expressions using eye robot for computer Go and system," 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), Taipei, Taiwan, Jun. 27-30, 2011.
年度：2011
類別： 會議論文
摘要：
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著作名稱：Y. L. Kuo, Y. Nakamura, M. Sakoda, H. Tsuji, and C. S. Lee, "Giving awareness of maturity by capability assessment," 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), Taipei, Taiwan, Jun. 27-30, 2011.
年度：2011
類別： 會議論文
摘要：
關鍵字：
著作名稱：H. D. Huang, C. S. Lee, G. Acampora, V. Loia, and H. Y. Kao, "Applying FML and fuzzy ontologies to malware behavioural analysis," 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), Taipei, Taiwan, Jun. 27-30, 2011.
年度：2011
類別： 會議論文
摘要：
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著作名稱：C. S. Lee, M. H. Wang, Z. W. Chen, C. Y. Hsu, S. E. Kuo, H. C. Kuo, H. H. Cheng, and A. Naito, "Genetic fuzzy markup language for diet application," 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), Taipei, Taiwan, Jun. 27-30, 2011.
年度：2011
類別： 會議論文
摘要：
關鍵字：
著作名稱：H. D. Huang, C. S. Lee, H. Y. Kao, Y. L. Tsai, and J. G. Chang, "Malware behavioral analysis system: TWMAN," 2011 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2011), Paris, France, Apr. 11-15, 2011.
年度：2011
類別： 會議論文
摘要：
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著作名稱：M. H. Wang, A. Naito, Z. W. Chen, and C. S. Lee, "FML-based Japanese food ontology applications," Japan-Cambodia Joint Symposium on Information Systems and Communication Technology (JCAICT 2011), Phnom Penh, Cambodia, Jan. 6-8, 2011.
年度：2011
類別： 會議論文
摘要：
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著作名稱：C. S. Lee, M. H. Wang, M. H. Wu, C. Y. Hsu, and Y. C. Lin, “A type-2 fuzzy personal ontology for meeting scheduling system,” 2010 IEEE World Congress on Computational Intelligence (WCCI 2010), Barcelona, Spain, Jul. 18-23, 2010.
年度：2010
類別： 會議論文
摘要：
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著作名稱：M. H. Wang, C. S. Lee, Z. W. Chen, C. F. Lo, S. E. Kuo, H. C. Kuo, and H. H. Cheng, “Property and application of fuzzy ontology for dietary assessment,” 2010 IEEE World Congress on Computational Intelligence (WCCI 2010), Barcelona, Spain, Jul. 18-23, 2010.
年度：2010
類別： 會議論文
摘要：
關鍵字：
著作名稱：M. H. Wang, Z. R. Yan, C. S. Lee, P. H. Hung, Y. L. Kuo, H. M. Wang, and B. H. Lin, “Apply fuzzy ontology to CMMI-based ASAP assessment system,” 2010 IEEE World Congress on Computational Intelligence (WCCI 2010), Barcelona, Spain, Jul. 18-23, 2010.
年度：2010
類別： 會議論文
摘要：
關鍵字：
著作名稱：H. D. Huang, T. Y. Chuang, Y. L. Tsai, and C. S. Lee, “Ontology-based intelligent system for malware behavioral analysis,” 2010 IEEE World Congress on Computational Intelligence (WCCI 2010), Barcelona, Spain, Jul. 18-23, 2010.
年度：2010
類別： 會議論文
摘要：
關鍵字：
著作名稱：C. S. Lee, M. H. Wang. Z. R. Yang, Y. J. Chen, H. Doghmen, and O. Teytaud, “FML-based type-2 fuzzy ontology for computer Go knowledge representation,” International Conference on System Science and Engineering (ICSSE 2010), Taipei, Taiwan, Jul. 1-3, 2010. (Accepted)
年度：2010
類別： 會議論文
摘要：
關鍵字：
著作名稱：M. W. Wang, C. S. Lee, L. W. Wu, M. C. Cheng, and O. Teytaud, “Ontology-based intelligent agent for game of Go,” The 2010 Conference on Technologies and Applications of Artificial Intelligence (TAAI 2010), Hsinchu, Nov. 18-20, Taiwan, 2010.
年度：2010
類別： 會議論文
摘要：
關鍵字：
著作名稱：C. S. Lee, M. H. Wang, G. Acampora, V. Loia, and C. Y. Hsu, "Ontology-based intelligent fuzzy agent for diabetes application," 2009 IEEE Symposium on Computational Intelligence for Intelligent Agent, Nashville, Tennessee, USA, 2009.
年度：2009
類別： 會議論文
摘要：
關鍵字：
著作名稱：C. K. Chang, and C. S. Lee, "Using computer-assisted test to harmlessly improve the efficiency of heterogeneous grouping in collaborative learning," 2009 International Conference on Advanced Computer Control (ICACC 2009), Singapore, 2009.
年度：2009
類別： 會議論文
摘要：
關鍵字：
著作名稱：M. H. Wang, C. S. Lee, K. L. Hsieh, C. Y. Hsu, and C. C. Chang, "Intelligent ontological multi-agent for healthy diet planning," 2009 IEEE International Conference on Fuzzy System (FUZZ-IEEE 2009), Jeju Island, Korea, 2009.
年度：2009
類別： 會議論文
摘要：
關鍵字：
著作名稱：C. S. Lee, M. H. Wang, T. P. Hong, G. Chaslot, J. B. Hoock, A. Rimmel, O. Teytaud, and Y. H. Kuo, "A novel ontology for computer Go knowledge management," 2009 IEEE International Conference on Fuzzy System (FUZZ-IEEE 2009), Jeju Island, Korea, 2009.
年度：2009
類別： 會議論文
摘要：
關鍵字：
著作名稱：C. S. Lee, M. H. Wang, C. Y. Hsu, and H. Hagras, "A novel fuzzy ontology and its application to diet assessment," The 2009 IEEE/WIC/ACM International Conferences on Web Intelligence (WI'09) and Intelligent Agent Technology (IAT'09), Milan, Italy, 2009.
年度：2009
類別： 會議論文
摘要：
關鍵字：
著作名稱：G. Acampora, C. S. Lee, and M. H. Wang, "FML-based ontological agent for healthcare application with diabetes," The 2009 IEEE/WIC/ACM International Conferences on Web Intelligence (WI'09) and Intelligent Agent Technology (IAT'09), Milan, Italy, 2009.
年度：2009
類別： 會議論文
摘要：
關鍵字：
著作名稱：C. S. Lee, M. H. Wang, H. C. Li, and W. H. Chen, "Intelligent ontological agent for diabetic food recommendation," IEEE World Congress on Computational Intelligence (WCCI 2008), Hong Kong, 2008.
年度：2008
類別： 會議論文
摘要：
關鍵字：
著作名稱：C. S. Lee, M. H. Wang, Z. R. Yan, C. F. Lo, H. H. Chuang, and Y. C. Lin, "Intelligent estimation agent based on CMMI ontology for project planning," IEEE International Conference on Systems, Man, and Cybernetics (SMC 2008), Singapore, 2008.
年度：2008
類別： 會議論文
摘要：
關鍵字：
著作名稱：C. S. Lee, M. H. Wang, W. C. Sun, and Y. C. Chang, "Intelligent healthcare agent for food recommendation at Tainan city," IEEE International Conference on Systems, Man, and Cybernetics (SMC 2008), Singapore, 2008.
年度：2008
類別： 會議論文
摘要：
關鍵字：
著作名稱：M. H. Wang and C. S. Lee, "An intelligent PPQA web services for CMMI assessment," Eighth International Conference on Intelligent System Design and Applications (ISDA 2008), Kaohsiung, Taiwan, 2008.
年度：2008
類別： 會議論文
摘要：
關鍵字：
著作名稱：G-K Park, J. L. R. M. Benedictos, C-S Lee, and M-H Wang, "Ontology-based Fuzzy-CBR Support System for Ships Collision Avoidance," International Conference on Machine Learning and Cybernetics (ICMLC 2007), Hong Kong, China, 2007.
年度：2007
類別： 會議論文
摘要：
關鍵字：
著作名稱：M-H Wang and C-S Lee, “Ontology-based Fuzzy Inference Mechanism for HRV Analysis,” the 2007 World Congress in Computer Science, Computer engineering, & Applied Computing (WORLDCOMP'07), Las Vegas, Nevada, USA, 2007.
年度：2007
類別： 會議論文
摘要：
關鍵字：
著作名稱：C-S Lee and M-H Wang, “Ontology-based Fuzzy Inference Agent for Diabetes Classification,” The 26th Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS'07), San Diego, California, USA, 2007.
年度：2007
類別： 會議論文
摘要：
關鍵字：
著作名稱：C-H Chen, T-P Hong, V-S-Tseng, and C-S Lee, “A Genetic-Fuzzy Mining Approach for Items with Multiple Minimum Supports,” IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2007), London, UK, 2007.
年度：2007
類別： 會議論文
摘要：
關鍵字：
著作名稱：M-H Wang and C-S Lee, “An Intelligent Fuzzy Agent based on PPQA Ontology for Supporting CMMI Assessment,” IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2007), London, UK, 2007.
年度：2007
類別： 會議論文
摘要：
關鍵字：
著作名稱：C-S Lee, Y-C Wang, W-M Liu, and Y-C Lin, "CRM Ontology based on CMMI Project Planning for Business Applications," International Conference on Machine Learning and Cybernetics (ICMLC 2007), Hong Kong, China, 2007.
年度：2007
類別： 會議論文
摘要：
關鍵字：
著作名稱：C-S Lee and M-H Wang, "Recent Research on Ontology Applications," 8th International Symposium on Advanced Intelligent Systems (ISIS 2007), Sokcho-City, Korea, 2007.
年度：2007
類別： 會議論文
摘要：
關鍵字：
著作名稱：C-S Lee and C-Y Hsu, “Ontology-based Genetic Fuzzy Filter for Image Processing,” North American Fuzzy Information Processing Society (NAFIPS), Montreal, Quebec, Canada, 2006 (Accepted)
年度：2006
類別： 會議論文
摘要：
關鍵字：
著作名稱：C-S Lee, M-H Wang, J-J Chen, and C-Y Hsu, “Ontology-based Intelligent Decision Support Agent for CMMI Project Monitoring and Control,” North American Fuzzy Information Processing Society (NAFIPS), Montreal, Quebec, Canada, 2006 (Accepted)
年度：2006
類別： 會議論文
摘要：
關鍵字：
著作名稱：C-S Lee, T-C Hsieh, Y-S Lai, M-H Wang and C-N Chen, "Apply Fuzzy Inference Mechanism for Supporting Healthcare Ontologies Management" 2006 IEEE International Conference on Systems, Man and Cybernetics, Taiwan, 2006.
年度：2006
類別： 會議論文
摘要：
關鍵字：
著作名稱：M-H Wang, C-S Lee, A. Tsai, and G. Lee, "A Fuzzy Recognition Agent based on Ontology Model for Respiratory Waveform Processing ", Joint 3rd International Conference on Soft Computing and Intelligent Systems and 7th International Symposium on advanced Intelligent Systems (SCIS & ISIS), Tokyo, Japan, 2006.
年度：2006
類別： 會議論文
摘要：
關鍵字：
著作名稱：C-S Lee, C-Y Pan, M-H Wang, and C-N Chen, "Ontology-based CMMI Requirements Management Web Services for Software Maintenance", Joint 3rd International Conference on Soft Computing and Intelligent Systems and 7th International Symposium on advanced Intelligent Systems (SCIS & ISIS), Tokyo, Japan, 2006.
年度：2006
類別： 會議論文
摘要：
關鍵字：
著作名稱：C-S Lee and M-H Wang, "An Ontology-based Intelligent Agent for Respiratory Waveform Classification," The 19th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE'06), FRANCE, 2006. (Accepted)
年度：2006
類別： 會議論文
摘要：
關鍵字：
著作名稱：C-S Lee, Z-W Jian, and T-C Hsieh,“ Ontology-based Genetic Fuzzy Agent for Meeting Scheduling System,” The 14th Annual IEEE International Conference on Fuzzy Systems, pp. 331-335, USA, 2005.
年度：2005
類別： 會議論文
摘要：
關鍵字：
著作名稱：C-S Lee, S-M Guo, and C-Y Hsu, “A Neural Fuzzy Filter for Impulse Noise Removal,” 2004 International Symposium Neural Networks, China, 2004.
年度：2004
類別： 會議論文
摘要：
關鍵字：
著作名稱：Y-H Kuo, C-S Lee, S-M Guo, and F-T Tu, “Apply FNN Model to Construct Ontology-based Q&A System,” The 5th WSEAS International Conference on Telecommunications and Informatics, Mexico, 2004.
年度：2004
類別： 會議論文
摘要：
關鍵字：
著作名稱：C-S Lee, S-M Guo, and Z-W Jian, “Weighted Fuzzy Ontology for Chinese e-News Summarization,” 2004 IEEE International Conference on Fuzzy Systems, Hungary, pp. 843-848, 2004.
年度：2004
類別： 會議論文
摘要：
關鍵字：
著作名稱：C-S Lee, M-J Chang, C-Y Pan, and C-N Chen, “A Genetic Fuzzy Decision Agent based on Personal Ontology for Meeting Scheduling Support System,” 2004 National American Fuzzy Information Processing Society, Canada, pp. 27-30, 2004.
年度：2004
類別： 會議論文
摘要：
關鍵字：
著作名稱：C-S Lee and C-Y Pan, “An Intelligent Fuzzy Meeting Agent for Decision Support System,” 2003 IEEE International Conference on Fuzzy Systems, pp. 1082-1091, USA, 2003.
年度：2003
類別： 會議論文
摘要：
關鍵字：
著作名稱：C-S Lee, Y-F Kao, Y-H Kuo and I-H Meng, “An Episode-based Fuzzy Inference Mechanism for Chinese News Ontology Construction,” The 7th World Multiconference on Systemics, Cybernetics and Informatics (SCI 2003), USA, 2003.
年度：2003
類別： 會議論文
摘要：
關鍵字：
著作名稱：C-S Lee, C-H Liao, and Y-H Kuo, “A Semantic-based Concept Clustering Mechanism for Chinese News Ontology Construction,” International Computer Symposium, Taiwan, 2002.
年度：2002
類別： 會議論文
摘要：
關鍵字：
著作名稱：C-S Lee, C-Y Pan, and M-J Chang, “A Fuzzy Decision Agent for Meeting Scheduling Supported System,” International Conference on Fuzzy Systems and Knowledge Discovery, Singapore, 2002.
年度：2002
類別： 會議論文
摘要：
關鍵字：
著作名稱：C-S Lee, C-P Chen, H-J Chen and Y-H Kuo, “Ontology-based Fuzzy Intelligent Agent for Personalized News Service,” International Conference on Chinese Language Computing, pp.39-46, 2002.
年度：2002
類別： 會議論文
摘要：
關鍵字：
著作名稱：C-S Lee and C-Y Hsu, “Intelligent Fuzzy Image Filter for Impulse Noise Removal,” IEEE International Conference on Fuzzy System, pp. 431-436, 2002.
年度：2002
類別： 會議論文
摘要：
關鍵字：
著作名稱：C-S Lee, H-J Tschai and Y-H Kuo, “PACS: Construction and Application to Medical Image Enhancement,” Third IEEE International Conference on Knowledge-Based Intelligent Information Engineering Systems (KES'99), Australia, pp.246-249, 1999.
年度：1999
類別： 會議論文
摘要：
關鍵字：
著作名稱：C-S Lee and Y-H Kuo, “The Important Properties of FN-OWA Operator,” The Eighth International Fuzzy Systems Association World Congress (IFSA’99), Taipei, pp. 849-853, 1999.
年度：1999
類別： 會議論文
摘要：
關鍵字：
著作名稱：C-S Lee and Y-H Kuo, “Adaptive fuzzy edge detector for image enhancement,” 1998 IEEE International Conference on Fuzzy Systems (WCCI’98, IEEE-FUZZ’98), Alaska, pp. 1542-1547, 1998.
年度：1999
類別： 會議論文
摘要：
關鍵字：
著作名稱：Y-H Kuo, C-S Lee and C-C Liu, ”A new fuzzy edge detection method for image enhancement,” 1997 IEEE International Conference on Fuzzy Systems (IEEE-FUZZ’97), Spain, pp. 1069-1074, 1997.
年度：1997
類別： 會議論文
摘要：
關鍵字：
著作名稱：C-S Lee and Y-H Kuo, “ Definitions, properties and analysis of AWFM filter,” Seven International Fuzzy Systems Association World Congress (IFSA’97), Prague, pp. 279-284, 1997.
年度：1997
類別： 會議論文
摘要：
關鍵字：
著作名稱：Y-H Kuo, C-L Chen and C-S Lee, “Design of adaptive weighted fuzzy mean filter with analog current mode technique,” Proc. of ISMIP’97 Conference, Taipei, pp. 407-412, 1997.
年度：1997
類別： 會議論文
摘要：
關鍵字：
著作名稱：J-I Shiu, Y-H Kuo, and C-S Lee, ”Simulated water diffusion approach for block motion estimation,” Proc. of ISMIP’97 Conference, Taipei, pp. 569-574, 1997.
年度：1997
類別： 會議論文
摘要：
關鍵字：
著作名稱：C-S Lee and Y-H Kuo, “Adaptive weighted fuzzy mean filter,” 1996 IEEE International Conference on Fuzzy Systems (IEEE-FUZZ’96), USA., pp. 2110 – 2116, 1996.
年度：1996
類別： 會議論文
摘要：
關鍵字：
著作名稱：C-S Lee and Y-H Kuo, “Adaptive WFM filter with noise detection capability,“ 1996 International Conference on Signal Processing (ICSP’96), P.R.China, pp. 602 – 605, 1996.
年度：1996
類別： 會議論文
摘要：
關鍵字：
著作名稱：C-L Chen, C-S Lee, and Y-H Kuo, “Design of High-Speed Weighted Fuzzy Mean Filters with Generic LR Fuzzy Cells,” 1996 IEEE International Conference on Image Processing (ICIP’96), Switzerland, pp. 1027 – 1030, 1996.
年度：1996
類別： 會議論文
摘要：
關鍵字：
著作名稱：C-S Lee and Y-H Kuo, “Multi-dimensional WFM filter: An application to color image restoration,” 1996 Asian Fuzzy Systems Symposium (AFSS’96), Taiwan, pp. 465-471, 1996.
年度：1996
類別： 會議論文
摘要：
關鍵字：
著作名稱：C-L Chen, C-S Lee, and Y-H Kuo, “Synthesis of Weighted Fuzzy Mean Filters with Generic LR Fuzzy Cells,” International Conference on Soft Computing (IIZUKA’96), Japan, pp. 225 – 228, 1996
年度：1996
類別： 會議論文
摘要：
關鍵字：
著作名稱：C-S Lee, Y-H Kuo and P-T Yu, ”Weighted fuzzy mean filters for heavy-tailed noise removal,” The Third International Symposium on Uncertainty Modeling and Analysis (ISUMA-NAFIPS’95), USA., pp. 601 – 606, 1995.
年度：1995
類別： 會議論文
摘要：
關鍵字：
著作名稱：C-S Lee and Y-H Kuo, ”Three dimensional weighted fuzzy mean filters for color image filtering,” International Joint Conference of CFSA/IFIS/SOFT’95 on Fuzzy Theory and Application, Taiwan, pp. 423-428, 1995.
年度：1995
類別： 會議論文
摘要：
關鍵字：
著作名稱：P-T Yu and C-S Lee, “Adaptive fuzzy median filter,” ISANN’93, Taiwan, pp. F25 – F34, 1993.
年度：1993
類別： 會議論文
摘要：
關鍵字：
著作名稱：應用粒子群聚演算法輔助英文自主學習平台建構
年度：2016
類別： 會議論文
摘要：
關鍵字：
著作名稱：謝弼任, 蔡秉衡, 黃政豪, 李健興, 王美慧, 劉哲宏, 林懿貞, "智慧知識本體網於能源管理應用," 2013數位生活科技研討會(DLT2013), 雲林, Jun. 27-28, 2013.
年度：2013
類別： 會議論文
摘要：
關鍵字：
著作名稱：蘇銘凱, 王美慧, 李健興, 黃政豪, "模糊知識本體於禁圍棋情感機器人之應用," TCGA2013電腦對局研討會, 新竹, Jun. 29-30, 2013.
年度：2013
類別： 會議論文
摘要：
關鍵字：
著作名稱：黃政豪, 李健興, 王美慧, "基於Fuzzy C-Means 之電腦對局棋力分群之研究," 2013台灣軟體工程研討會(TCSE2013), 高雄, Jul. 5-6, 2013.
年度：2013
類別： 會議論文
摘要：
關鍵字：
著作名稱：謝弼任, 王美慧, 李健興, 劉哲宏, "智慧型能源管理決策支援系統之研究," 中華民國第二十一屆模糊理論及其應用研討會(TAAI 2013), 台北, Dec. 6-8, 2013.
年度：2013
類別： 會議論文
摘要：
關鍵字：
著作名稱：蔡秉衡, 王美慧, 李健興, 林懿貞, "專利技術評估與推薦機制之研究," 2013年全國計算機會議(NCS2013), 台中, Dec. 13-14, 2013.
年度：2013
類別： 會議論文
摘要：
關鍵字：
著作名稱：蔡育娣, 王羿璇, 郭怡鈴, 王美慧, 李健興, 劉哲宏, "應用CMMI組織流程與模糊知識本體於內部控制之研究," 第六屆台灣軟體工程研討會, 台北, 2012.
年度：2012
類別： 會議論文
摘要：
關鍵字：
著作名稱：陳毅翔, 王美慧, 李健興, "基於國小四年級數學知識本體於文件摘要之應用," 第六屆台灣軟體工程研討會, 台北, 2012.
年度：2012
類別： 會議論文
摘要：
關鍵字：
著作名稱：郭儒鴻, 蔡育娣, 王美慧, 李健興, 劉哲宏, "基於模糊推論系統於再生能源電廠設置之研究," 2012數位生活科技研討會, 雲林, 2012.
年度：2012
類別： 會議論文
摘要：
關鍵字：
著作名稱：林崑弘, 蔡育娣, 王美慧, 李健興, 劉哲宏, "基於模糊標記語言之太陽能供需分析決策支援系統," 第十七屆人工智慧與應用研討會(TAAI 2012), 台南, 2012.
年度：2012
類別： 會議論文
摘要：
關鍵字：
著作名稱：王元良, 李健興, 林懿貞, "基於模糊標記語言推論系統於導入資訊安全之資產風險應用" 第十七屆人工智慧與應用研討會(TAAI 2012), 台南, 2012.
年度：2012
類別： 會議論文
摘要：
關鍵字：
著作名稱：陳毅翔, 王美慧, 李健興, 林素微, 洪碧霞, "國小數學知識本體於線上評量報告摘要之應用," 中華民國第二十屆模糊理論及其應用研討會, 台中, 2012.
年度：2012
類別： 會議論文
摘要：
關鍵字：
著作名稱：藍順騰, 王美慧, 李健興, 郭素娥, 郭惠卿, 鄭惠華, "第二型模糊本體論於飲食評估之應用," 中華民國第二十屆模糊理論及其應用研討會, 台中, 2012.
年度：2012
類別： 會議論文
摘要：
關鍵字：
著作名稱：曾渝暘, 王美慧, 李健興, 郭怡鈴, 林懿貞, "基因型FML推論系統於校務評鑑之應用," 中華民國第二十屆模糊理論及其應用研討會, 台中, 2012.
年度：2012
類別： 會議論文
摘要：
關鍵字：
著作名稱：王美慧, 李健興, 陳智偉, 藍順騰, 郭素娥, 郭惠卿, 鄭惠華, "基因學習結合模糊標記語言於飲食評估之應用," 中華民國第十九屆模糊理論及其應用研討會(FUZZY 2011), 雲林, 2011.
年度：2011
類別： 會議論文
摘要：
關鍵字：
著作名稱：郭怡鈴, 曾渝暘, 李健興, 过洋, 林懿貞, "基於模糊標記語言之推論系統與其應用," 中華民國第十九屆模糊理論及其應用研討會(FUZZY 2011), 雲林, 2011.
年度：2011
類別： 會議論文
摘要：
關鍵字：
著作名稱：李健興, 蘇銘凱, 吳孟珍, 陳昱仁, 王美慧, 山崎洋一, 廣田薰, "模糊知識本體於圍棋情感機器人之應用," 第十六屆人工智慧與應用研討會(TAAI 2011), 桃園, 2011.
年度：2011
類別： 會議論文
摘要：
關鍵字：
著作名稱：李健興, 曾渝暘, 蘇銘凱, 王惠民, 王元良, 劉哲宏, 林懿貞, "基於模糊標記語言於校務治理與經營之應用," 第十六屆人工智慧與應用研討會(TAAI 2011), 桃園, 2011.
年度：2011
類別： 會議論文
摘要：
關鍵字：
著作名稱：李健興, 吳孟珍, 中河祐貴, 王美慧, 过洋, "基於FML之模糊知識本體於電腦圍棋對局應用," 第十六屆人工智慧與應用研討會(TAAI 2011), 桃園, 2011.
年度：2011
類別： 會議論文
摘要：
關鍵字：
著作名稱：郭怡鈴, 羅啟芳, 王元良, 莊皓涵, 林雅雯, 朱明毅, 李健興, 林懿貞, "基於知識本體之EPG知識管理之研究," 2010數位生活科技研討會-智慧城市生活國際論壇, 台南, 2010.
年度：2010
類別： 會議論文
摘要：
關鍵字：
著作名稱：陳昱仁, 李健興, 王美慧, "基於模糊知識本體之圍棋評量系統," 中華民國第十八屆模糊理論及其應用研討會(FUZZY 2010), 花蓮, 2010.
年度：2010
類別： 會議論文
摘要：
關鍵字：
著作名稱：王美慧, 陳昱仁, 李健興, A. Naito, S. Aoki, H. Tsuji, "基於模糊知識本體之圍棋評量系統," 中華民國第十八屆模糊理論及其應用研討會(FUZZY 2010), 花蓮, 2010.
年度：2010
類別： 會議論文
摘要：
關鍵字：
著作名稱：吳閔詳, 蘇銘凱, 王美慧, 李健興, 林懿貞, "基於知識本體之學生學習歷程評估暨管理機制," 第十五屆人工智慧與應用研討會(TAAI 2010), 新竹, 2010.
年度：2010
類別： 會議論文
摘要：
關鍵字：
著作名稱：陳昱仁, 李健興, 王美慧, "基於模糊知識本體之圍棋評量系統," 中華民國第十八屆模糊理論及其應用研討會(FUZZY 2010), 花蓮, 2010.
年度：2010
類別： 會議論文
摘要：
關鍵字：
著作名稱：王美慧, 陳智偉, 李健興, A. Naito, S. Aoki, H. Tsuji, "基於模糊知識本體之圍棋評量系統," 中華民國第十八屆模糊理論及其應用研討會(FUZZY 2010), 花蓮, 2010.
年度：2010
類別： 會議論文
摘要：
關鍵字：
著作名稱：李健興, 郭怡鈴, 羅啟芳, 王元良, 梁鴻德, 林雅雯, 陳彥良, 林懿貞, "基於CMMI之組織流程定義知識管理之研究," 2010中華民國科技管理學會年會暨論文研討會(CSMOT 2010), 新竹, 2010.
年度：2010
類別： 會議論文
摘要：
關鍵字：
著作名稱：郭怡鈴, 羅啟芳, 王元良, 莊皓涵, 林雅雯, 朱明毅, 李健興, 林懿貞, “基於知識本體之EPG知識管理之研究,” 2010數位生活科技研討會-智慧城市生活國際論壇, 台南, 2010.
年度：2010
類別： 會議論文
摘要：
關鍵字：
著作名稱：顏志榮, 王美慧, 李健興, “基於模糊知識本體之智慧型代理人於電腦圍棋應用,” 2010年台灣物件導向技術及應用暨軟體工程研討會, 中壢, 2010.
年度：2010
類別： 會議論文
摘要：
關鍵字：
著作名稱：莊皓涵, 陳彥良, 楊惠如, 李健興, 陳惠萍, 黃秀霜, “基於CMMI之攜手計畫網路平台知識管理研究,” 第二屆提昇弱勢兒童之課程與教學研討論壇, 台南, 2010.
年度：2010
類別： 會議論文
摘要：
關鍵字：
著作名稱：高臆婷, 李健興, 謝光良,"應用軟體工程規範於飲食健康規劃系統之研究," 第五屆台灣軟體工程研討會暨軟體工程聯盟課程教材成果發表會, 台南, 2009.
年度：2009
類別： 會議論文
摘要：
關鍵字：
著作名稱：吳孟珍, 楊雅淇, 顏志榮, 李健興,"應用軟體工程規範於圍棋知識庫系統之研究," 第五屆台灣軟體工程研討會暨軟體工程聯盟課程教材成果發表會, 台南, 2009.
年度：2009
類別： 會議論文
摘要：
關鍵字：
著作名稱：王美慧, 謝光良, 李健興, 許志遠, 陳智偉, 張仲卿, "基於模糊標記語言之智慧型飲食規劃代理人," 第十四屆人工智慧與應用研討會(TAAI2009), 台中, 2009.
年度：2009
類別： 會議論文
摘要：
關鍵字：
著作名稱：孫維駿,王美慧, 李健興, 陳昱仁, "基於知識本體網路流量監控系統," 第十四屆人工智慧與應用研討會(TAAI2009), 台中, 2009.
年度：2009
類別： 會議論文
摘要：
關鍵字：
著作名稱：羅啟芳, 王美慧, 李健興, 林懿貞, "CMMI組織流程專注於知識管理之研究," 第十七屆模糊理論及其應用研討會(Fuzzy2009), 高雄, 2009.
年度：2009
類別： 會議論文
摘要：
關鍵字：
著作名稱：陳昱仁, 李健興, 王美慧, "基於知識本體建置模糊推論系統於圍棋局勢判斷之研究," 第十七屆模糊理論及其應用會議(Fuzzy2009), 高雄, 2009.,
年度：2009
類別： 會議論文
摘要：
關鍵字：
著作名稱：吳閔詳, 王美慧, 李健興, 許志遠, 林懿貞, "FML-based 會議排程決策支援系統之應用," 第二十屆物件導向技術及應用研討會(OOTA2009), 台中, 2009.
年度：2009
類別： 會議論文
摘要：
關鍵字：
著作名稱：黃獻德, 李健興, 蔡一郎, 邱敏乘, "基於知識本體之惡意程式分析平台," 2009全國計算機會議(NCS2009), 台北, 2009.
年度：2009
類別： 會議論文
摘要：
關鍵字：
著作名稱： 李健興, 莊皓涵, 林懿貞, 郭怡鈴, "基於FML之校園網路平台知識管理研究," 2009全國計算機議 (NCS2009), 台北, 2009.
年度：2009
類別： 會議論文
摘要：
關鍵字：
著作名稱： 黃獻德, 蔡一郎, 邱敏乘, 李健興, 莊宗嚴, "知識本體於惡意程式行為分析之應用," 2009年臺灣網際網路研討會(TANET2009), 彰化, 2009.
年度：2009
類別： 會議論文
摘要：
關鍵字：
著作名稱：羅啟芳, 王美慧, 李健興, 林懿貞, "CMMI組織流程專注於知識管理之研究," 第十七屆模糊理論及其應用研討會(Fuzzy2009), 高雄, 2009.
年度：2009
類別： 會議論文
摘要：
關鍵字：
著作名稱：黃獻德, 李健興, 蔡一郎, 邱敏乘, "基於知識本體之惡意程式分析平台," 2009全國計算機會議(NCS2009), 台北, 2009.
年度：2009
類別： 會議論文
摘要：
關鍵字：
著作名稱：黃獻德, 李健興, 蔡一郎, 邱敏乘, "基於知識本體之惡意程式分析平台," 2009全國計算機會議(NCS2009), 台北, 2009.
年度：2009
類別： 會議論文
摘要：
關鍵字：
著作名稱：李健興, 劉瑋民, 林懿貞, 林雅雯, 王惠民, 白富升,"基於CMMI之網路電話建置暨知識管理研究-以國立臺南大學網路電話平台建置為例," 二○○八數位生活科技研討會-人本智慧生活科技, 台南, 2008.
年度：2008
類別： 會議論文
摘要：
關鍵字：
著作名稱：陳毅翔, 侯正福, 孫維駿, 李健興,"基於知識本體之CMMI專案規劃之研究-以高鐵與台鐵整合查詢系統為例," 第四屆台灣軟體工程研討會暨軟體工程聯盟課程教材成果發表會, 台南, 2008.
年度：2008
類別： 會議論文
摘要：
關鍵字：
著作名稱：李健興, 林明達, 王元良, 林懿貞, "CMMI組織流程定義於知識管理之研究-以國立臺南大學攜手計畫為例," 第十九屆物件導向技術及應用研討會(OOTA 2008), 雲林, 2008.
年度：2008
類別： 會議論文
摘要：
關鍵字：
著作名稱：李健興, 郭淑美, 李宜修, "基因型模糊推論軟體品質評估系統," 第十九屆物件導向技術及應用研討會(OOTA 2008), 雲林, 2008.
年度：2008
類別： 會議論文
摘要：
關鍵字：
著作名稱：李健興, 莊皓涵, 林懿貞, "智慧型知識管理於校園網路電話之研究," 第十三屆人工智慧與應用研討會(TAAI 2008), 宜蘭, 2008.
年度：2008
類別： 會議論文
摘要：
關鍵字：
著作名稱：李健興, 羅啓芳, 林懿貞, "組織流程改善本體論於專案知識管理之應用," 第十三屆人工智慧與應用研討會(TAAI 2008), 宜蘭, 2008.
年度：2008
類別： 會議論文
摘要：
關鍵字：
著作名稱：李健興, 黃雅君, 王美慧, 林懿貞, 謝光良, "基於知識本體之智慧型飲食規劃研究-以糖尿病飲食建置為例," 第十六屆模糊理論及其應用會議(FUZZY 2008), 中壢, 2008.
年度：2008
類別： 會議論文
摘要：
關鍵字：
著作名稱：李健興, 顏志榮, 王美慧, 許志遠, "基於FML知識本體之專案規劃模糊代理人," 第十六屆模糊理論及其應用會議(FUZZY 2008), 中壢, 2008.
年度：2008
類別： 會議論文
摘要：
關鍵字：
著作名稱：黃獻德、莊宗嚴、李健興, 「Web 2.0概念融入健康美食導覽-以臺南小吃導覽為例」," 第二屆數位內容管理與應用學術研討會(DCMA), 台南, 2007.
年度：2007
類別： 會議論文
摘要：
關鍵字：
著作名稱：李健興、郭琬姿、劉瑋民、林懿貞,"基於CMMI之VoIP專案規劃知識本體研究與建構", 第三屆台灣軟體工程研討會暨軟體工程聯盟課程教材成果發表會, 台中, 2007.
年度：2007
類別： 會議論文
摘要：
關鍵字：
著作名稱：李健興、張詠淳、王美慧、許舜欽,"基於知識本體之語意搜尋代理人", 二○○七數位生活科技研討會, 台南, 2007.
年度：2007
類別： 會議論文
摘要：
關鍵字：
著作名稱：李健興、黃雅琴、張智凱，"CMMI技術需求代理人之知識本體研究與建構"，第十二屆人工智慧與應用研討會，雲林，2007.(Accepted)
年度：2007
類別： 會議論文
摘要：
關鍵字：
著作名稱：李健興、楊峻泓、陳政佑、張詠淳, "應用模糊推論機制建構府城小吃知識本體,第十八屆物件導向技術及應用研討會, 台南, 2007.
年度：2007
類別： 會議論文
摘要：
關鍵字：
著作名稱：李健興、郭琬姿、顏志榮、林懿貞，"基於知識本體之CMMI專案規劃之研究"，2007物件導向技術與應用研討會，台南，2007.
年度：2007
類別： 會議論文
摘要：
關鍵字：
著作名稱：王美慧、李健興、黃雅君、黎煥中、鍾順麒、林懿貞，"知識本體推論代理人於個人健康動態分析之應用"，2007人工智慧與應用研討會，雲林，2007.(Accepted)
年度：2007
類別： 會議論文
摘要：
關鍵字：
著作名稱：李健興、黃雅琴、張智凱、陳宗禧，"中小學資料交換知識本體之研究"，第二屆數位內容管理與應用學術研討會(DCMA)，台南，2007.
年度：2007
類別： 會議論文
摘要：
關鍵字：
著作名稱：李健興、張詠淳、賴貞汝、張乃文、陳宜婷、許舜欽，"建構呼吸照護知識本體之研究"，2007資訊科技國際研討會，台中，2007.
年度：2007
類別： 會議論文
摘要：
關鍵字：
著作名稱：李健興, 張詠淳, 王美慧, 郭耀煌, 許舜欽，"CMMI專案監控網路服務之研究"，第十七屆物件導向技術及應用研討會，桃園，2006.
年度：2006
類別： 會議論文
摘要：
關鍵字：
著作名稱：郭琬姿、李健興、林懿貞，"基於知識本體之CMMI專案規劃-以大學校園e化為例"，第二屆台灣軟體工程研討會暨軟體工程聯盟課程教材成果發表會，台北，2006.
年度：2006
類別： 會議論文
摘要：
關鍵字：
著作名稱：李健興、黃雅琴、謝東成，"教師個人知識本體建構技術及其運用"，2006電子商務與數位生活研討會，台北，2006.(佳作論文獎)
年度：2006
類別： 會議論文
摘要：
關鍵字：
著作名稱：李健興、張詠淳、吳與倫，"基於CMMI知識本體之學習導向知識管理系統之研究"，2006電子商務與數位生活研討會，台北，2006.
年度：2006
類別： 會議論文
摘要：
關鍵字：
著作名稱：李健興、王美慧、蔡岳廷、李漢超，"智慧型呼吸照護機制之研究"，第十屆人工智慧與應用研討會，高雄，2005.
年度：2005
類別： 會議論文
摘要：
關鍵字：
著作名稱：李健興、潘振宇、陳祈男，"基於本體論之軟體需求追溯服務"，第十六屆物件導向技術及應用研討會，台中，2005.
年度：2005
類別： 會議論文
摘要：
關鍵字：
著作名稱：李健興、江俊志、張詠淳、郭耀煌，"支援CMMI專案監控網路服務之研究"，中華民國九十四年全國計算機會議，台南，2005.(最佳論文獎)
年度：2005
類別： 會議論文
摘要：
關鍵字：
著作名稱：李健興、林香蘭、陳祈男，"基於Ontology架構之智慧型影像濾波器設計與應用"，第十屆人工智慧與應用研討會，高雄，2005.
年度：2005
類別： 會議論文
摘要：
關鍵字：
著作名稱：李健興、謝東成、陳祈男，"個人化健康照護知識本體建構技術與其應用"，2005國際醫學資訊研討會，桃園，2005.
年度：2005
類別： 會議論文
摘要：
關鍵字：
著作名稱：李健興、江俊志，"支援CMMI Level 3需求發展Web Service之研究"，第一屆台灣軟體工程研討會暨軟體工程聯盟課程教材成果發表會，台北，2005.
年度：2005
類別： 會議論文
摘要：
關鍵字：
著作名稱：李健興、謝東成、張漪珮，"支援CMMI Level 2之度量與分析服務研發與建構"，第一屆台灣軟體工程研討會暨軟體工程聯盟課程教材成果發表會，台北，2005.
年度：2005
類別： 會議論文
摘要：
關鍵字：
著作名稱：李健興、黃麟凱、張詠淳、賴智錦，"基於CMMI SWPQA知識本體之文件摘要技術研究"，第十一屆資訊管理暨實務研討會，台北，2005.
年度：2005
類別： 會議論文
摘要：
關鍵字：
著作名稱：李健興、陳瑞仁、黃雅琴，"CMMI問答知識本體建構技術之研究"，第十一屆資訊管理暨實務研討會，台北，2005.
年度：2005
類別： 會議論文
摘要：
關鍵字：
著作名稱：郭耀煌、李健興、陳瑞仁、潘振宇、陳祈男、洪肇奎，"符合CMMI規範之需求管理 Web Service研究與建構"，第十五屆物件導向技術及應用研討會，台南，2004.
年度：2004
類別： 會議論文
摘要：
關鍵字：
著作名稱：郭耀煌、郭淑美、李健興、陳盈旭，"Apply Object-Oriented Technology to Construct Chinese News Ontology on Internet"，第十五屆物件導向技術及應用研討會，台南，2004.
年度：2004
類別： 會議論文
摘要：
關鍵字：
著作名稱：李健興、杜榮俊、簡志偉，"智慧型CMMI支援供應商評選Web Service研究與建構"， 第一屆智慧型Web技術研討會，台北，2004.
年度：2004
類別： 會議論文
摘要：
關鍵字：
著作名稱：李健興、杜榮俊，"基於Ontology開發CMMI Level 2之度量分析工具"，二○○四數位生 活與網際網路科技研討會，台南，2004.
年度：2004
類別： 會議論文
摘要：
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著作名稱：李健興、陳瑞仁、郭耀煌，"支援CMMI Level 2專案監控Web Service研究與建構"，二 ○○四數位生活與網際網路科技研討會，台南，2004.
年度：2004
類別： 會議論文
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著作名稱：Y-F Kao, Y-H Kuo, C-S Lee and I-H Meng, “A Domain Ontology Learning Approach based on Soft-computing Techniques,” NCS'03 National Computer Symposium, Taiwan, 2003.
年度：2003
類別： 會議論文
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著作名稱：Y-H Kuo, C-S Lee, F-T Tu and S-M Guo, “Ontology-based Q&A Extractor for Q&A System,” 2003 The Joint Conference on AI, Fuzzy System, and Grey System, Taiwan, 2003.
年度：2003
類別： 會議論文
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著作名稱：李健興、陳瑞仁、郭耀煌，"支援CMMI Level 九屆資訊管理實務暨研討會，彰化，2003.
年度：2003
類別： 會議論文
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著作名稱：李健興、郭淑美、許志遠，"基於ontology架構之模糊影像辨識系統"，2003人工智慧、 模糊系統及灰色系統聯合研討會，台北，2003.
年度：2003
類別： 會議論文
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著作名稱：李健興、張孟儒、潘振宇、陳祈男，"應用Personal Ontology架構於會議排程決策支援 系統之研究"，第四屆產業資訊管理學術暨新興科技實務研討會，台北，2003.
年度：2003
類別： 會議論文
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著作名稱：李健興、陳雅絹、蕭文賢、郭雅琪，"基於Ontology之中文文件自動摘要技術之研究"， 2002產業資訊管理學術暨新興科技實務研討會，輔仁大學主辦, pp. 870-876, 2002.
年度：2003
類別： 會議論文
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著作名稱：C-S Lee and F-T Tu, "Ontology-based Fuzzy Q&A Knowledge Base Construction for CREDIT Knowledge Management System," 2002 10th National Conference on Fuzzy Theory and Its Applications, Taiwan, pp24-29, 2002.
年度：2002
類別： 會議論文
摘要：
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著作名稱：C-S Lee, S-M Guo, C-Y Hsu and Y-L Chen, "Genetic-based Fuzzy Image Filter for Image Processing," 2002 10th National Conference on Fuzzy Theory and Its Applications, Taiwan, pp22-27, 2002.
年度：2002
類別： 會議論文
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著作名稱：Z-H Hsiaol, C-S Lee, Yau-Hwang Kuo, "基於本體論之智慧型搜尋代理人," The 13th Workshop on Object-Oriented Technology and Applications, Taiwan, pp.433-438 2002.
年度：2002
類別： 會議論文
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著作名稱：C-S Lee, Y-J Chen, and Z-H Wei, “Ontology-base fuzzy event extraction agent for real-time Chinese e-News summarization,” 7th conference on artificial intelligence and application, Taiwan, 2002.
年度：2002
類別： 會議論文
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著作名稱：C-S Lee, J-X Liao, Y-H Kuo, I-H Meng and J-D Yang, “Ontology-based information classification agent with fuzzy inference capability,” 9th National conference on fuzzy theory and its application, Taiwan, 2001.
年度：2001
類別： 會議論文
摘要：
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著作名稱：C-S Lee, J-Y Hsu, Y-H Kuo and Y-J Hwang, “ An intelligent image agent based on PACS system,” 9th National conference on fuzzy theory and its application, Taiwan, 2001.
年度：2001
類別： 會議論文
摘要：
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著作名稱：J-J Liao, C-C Kung, C-S Lee, J-P Hsu and Y-H Kuo, “ An intelligent mobile delivery system based on ontology classification,” 6th Conference on artificial intelligence and applications, Taiwan, 2001.
年度：2001
類別： 會議論文
摘要：
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著作名稱：C-S Lee, J-X Liao, Y-H Kuo, “An OO-based knowledge management system,” 12th Object-oriented technology and application conference, Taiwan, 2001.
年度：2001
類別： 會議論文
摘要：
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著作名稱：C-C Kung, J-P Hsu, C-S Lee and Y-H Kuo, “An intelligent agent for XML-based documents classification,” Workshop on the 21st Century digital life and Internet technology, Taiwan, 2001.
年度：2001
類別： 會議論文
摘要：
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著作名稱：C-S Lee, I-H Chu, Y-S Chen, and D-U Liao, “ A XML –based intelligent personalized service website,” Workshop on the 21st Century digital life and Internet technology, Taiwan, 2001
年度：2001
類別： 會議論文
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著作名稱：C-S Lee, L-S Chen, C-C Tseng and J-W Hwang, ”An intelligent personalized service system based on fuzzy neural network,” 2000 8th national conference on fuzzy theory and application, Taiwan, 2000.
年度：2000
類別： 會議論文
摘要：
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著作名稱：C-S Lee L-S Chen, C-C Tseng and J-W Hwang,., ”應用模糊自組織映射網路於手機族群 分類之研究,” 2000年校園無線電子商務研討會, Taiwan, 2000.
年度：2000
類別： 會議論文
摘要：
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著作名稱：C-C Kao, Y-H Kuo, J-P Hsu, and C-S Lee, ”Personalized information classification system with automatic ontology construction capability,” 11th workshop on object-oriented technology and applications, Taiwan, 2000.
年度：2000
類別： 會議論文
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著作名稱：C-S Lee and Y-H Kuo, ”FN-OWA operator and its application to image enhancement,” 1998 sixth national conference on fuzzy theory and application, Taiwan, 1998. (佳作論文)
年度：1998
類別： 會議論文
摘要：
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著作名稱：Y-H Kuo, C-S Lee and W-L Chien, ”Extended WFM filter: Some properties, hardware implementation, and application to edge detection,” 1997 fifth national conference on fuzzy theory and application, Taiwan, pp. 276-282, 1997.
年度：1997
類別： 會議論文
摘要：
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著作名稱：C-S Lee and Y-H Kuo,” The behavior analysis of WFM filter,” Proc. of NCS’95, Taiwan, pp. 618-625, 1995.
年度：1995
類別： 會議論文
摘要：
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著作名稱：P-T Yu and C-S Lee, “ Fuzzy mean filter and its application in image processing,” 1994 National Conference on Fuzzy Systems (Fuzz’94), Taiwan, pp. 617-622, 1994.
年度：1994
類別： 會議論文
摘要：
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著作名稱：李健興,“與全國教育資訊系統銜接之可行性評估,”教育部校務行政e化諮詢暨輔導計畫期中報告,Taiwan, 2006.
年度：2006
類別： 研究計畫成果報告
摘要：
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著作名稱：李健興,“國中、小學籍/成績/健康XML資料交換規格3.0版,”教育部校務行政e化諮詢暨輔導計畫期末報告,Taiwan, 2006.
年度：2006
類別： 研究計畫成果報告
摘要：
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著作名稱：李健興, 陳瑞仁, 陳予郎, 陳盈旭, “支援CMMI Level 2 認証之文件管理平台,” 第三屆 國網盃軟體設計比賽 佳作, Taiwan, 2003.
年度：2003
類別： 研究計畫成果報告
摘要：
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著作名稱：李健興, 蔡旭傑, 劉騏鋕, 許志遠, “基於Ontology 架構之魚類影像辨識暨擷取Web Service,” 第三屆國網盃軟體設計比賽 最佳展示獎, Taiwan, 2003.
年度：2003
類別： 研究計畫成果報告
摘要：
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著作名稱：李健興, 簡志偉, 杜榮俊, 潘振宇, “基於Ontology 之個人化中文新聞摘要系統,” 第三 屆國網盃軟體設計比賽 入圍獎, Taiwan, 2003.
年度：2003
類別： 研究計畫成果報告
摘要：
關鍵字：
著作名稱：C-S Lee and C-N Chen, “具備推理與自動學習能力之文字探勘代理人,” 財團法人資訊工業策進會九十二年度分包學術機構研究計畫期末報告, Taiwan, 2003.
年度：2003
類別： 研究計畫成果報告
摘要：
關鍵字：
著作名稱：C-S Lee and C-N Chen, “具備推理與自動學習能力之文字探勘代理人,” 財團法人資訊工業策進會九十二年度分包學術機構研究計畫期中報告, Taiwan, 2003.
年度：2003
類別： 研究計畫成果報告
摘要：
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著作名稱：李健興, 潘振宇, 簡志偉, 許志遠, “智慧型行動辦公室決策支援系統,” 教育部91 年度 校園軟體創作獎勵競賽 資訊管理組優等, Taiwan, 2002.
年度：2002
類別： 研究計畫成果報告
摘要：
關鍵字：
著作名稱：S-M Tseng and C-S Lee,“支援語意空間的Ontology 擷取與建構技術研究,” 財團法人資 訊工業策進會九十一年度分包學術機構研究計畫期末報告, Taiwan, 2002.
年度：2002
類別： 研究計畫成果報告
摘要：
關鍵字：
著作名稱：S-M Tseng and C-S Lee,“支援語意空間的Ontology 擷取與建構技術研究,” 財團法人資 訊工業策進會九十一年度分包學術機構研究計畫期中報告, Taiwan, 2002.
年度：2002
類別： 研究計畫成果報告
摘要：
關鍵字：
著作名稱：C-S Lee and J-P Hsu, “XML-based intelligent agent,” Software technologies of Internet application final report for year 2001 projects, CREDIT research center, NCKU, Taiwan, 2002.
年度：2002
類別： 研究計畫成果報告
摘要：
關鍵字：
著作名稱：C-S Lee and J-P Hsu, “XML-based intelligent agent,” Software technologies of Internet application midterm report for year 2001 projects, CREDIT research center, NCKU, Taiwan, 2002.
年度：2002
類別： 研究計畫成果報告
摘要：
關鍵字：
著作名稱：C-S Lee and J-P Hsu, “XML-based intelligent agent,” Software technologies of Internet application midterm report for year 2000 projects, CREDIT research center, NCKU, Taiwan, 2001.
年度：2001
類別： 研究計畫成果報告
摘要：
關鍵字：
著作名稱：C-S Lee and J-P Hsu, “XML-based intelligent agent,” Software technologies of Internet application final report for year 2000 projects, CREDIT research center, NCKU, Taiwan, 2001.
年度：2001
類別： 研究計畫成果報告
摘要：
關鍵字：
著作名稱：S-M Tseng and C-S Lee, “文件自動分類技術研究,” 財團法人資訊工業策進會九十年度 分包學術機構研究計畫期中報告, Taiwan, 2001.
年度：2001
類別： 研究計畫成果報告
摘要：
關鍵字：
著作名稱：S-M Tseng and C-S Lee, “文件自動分類技術研究,” 財團法人資訊工業策進會九十年度 分包學術機構研究計畫期末報告, Taiwan, 2001.
年度：2001
類別： 研究計畫成果報告
摘要：
關鍵字：
著作名稱：C-S Lee, “基於模糊類神經網路之智慧型個人化服務系統,” 教育部, Taiwan, 2001.
年度：2001
類別： 研究計畫成果報告
摘要：
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