國立臺南大學專任教師基本資料
姓名劉哲宏
系所經營與管理學系
職稱副教授
校內分機7727
EMAILchehung@mail.nutn.edu.tw
辦公室榮譽校區 C209-1
網址 
專長/研究領域資訊管理,知識管理,電子商務
學位畢業學校國別主修學門修業期間
碩士Barry University美國Master Science of E-Commerce2001.08 - 2003.05
碩士Barry University美國Master of Busniess Administration2003.05 - 2004.05
博士Florida International University美國Decision Science and Information Systems2004.08 - 2009.08
服務機關部門系所職稱服務期間
Barry UniversityAndreas School of BusinessGraduate Assistant2001.08 ~ 2004.05
Florida International University College of Business AdministrationResearch Assistant2004.08 - 2009.06
Florida International University College of Business AdministrationAdjunct Professor2005.05 - 2008.08
輔仁大學資訊管理學系助理教授2009.09 - 2010.07
國立臺南大學電子計算機中心行政與服務組組長2010.08 - 2011.07
國立臺南大學經營與管理學系助理教授2010.08 - 2016.01
國立臺南大學研發處學術合作組組長2011.08 - 2013.07
國立臺南大學創新育成中心產學合作組組長2015.08 - 2016.07
國立臺南大學經營與管理學系副教授2016.02 - 迄今
國立臺南大學創新育成中心主任2016.08 - 迄今
著作名稱:Biometrics technology evaluating and selecting model building
年度:2013
類別:期刊論文
摘要:Biometrics has been vigorously promoted around the world as a means to strengthen security and privacy in the IT world. Biometrics has been applied in specific areas for decades and prolif- erated in customer and resident electronic products to enhance security and privacy. This study evaluated biometrics through conventional technology assessment considerations combined with viewpoints from the particularity of biometric technologies and provides suggestions for selection. In order to achieve biometric technology assessment, we examined how different evaluating objects, technology assessment, biometric competence and key elements of biomet- ric, lead to corresponding biometric technologies. The relative importance of each object was evaluated using the analytic hierarchy process. The weight of each object was adjusted sepa- rately to construct evaluating scenarios by sensitivity analysis. The results show that fingerprint recognition, iris recognition and palm print recognition are three biometric technologies that could meet the three objects requirements at the same time.
關鍵字:biometric technology assessment; analytic hierarchy process; sensitivity analysis
著作名稱:Apply Fuzzy Ontology and FML to Knowledge Extraction for University Governance and Management
年度:2013
類別:期刊論文
摘要:The Higher Education Evaluation and Accreditation Council of Taiwan (HEEACT) supported by the Taiwan government has annually executed universities’ assessment process similar to the one in the United States since 2005. The HEEACT holds numerous assessment workshops and develops many basic standards to encourage each university to set its educational goals, measure the success in achieving these goals, ask some tough questions for the university, and meet these questions’ requirements to continuous improvement in the university. In this paper, we apply the fuzzy ontology and fuzzy markup language (FML) to perform the knowledge extraction for university governance and management, and adopt National University of Tainan (NUTN), Taiwan, as an example to construct the FML-based fuzzy ontology for knowledge management. In addition, the FML-based knowledge management system which processes a simulation for NUTN self-assessment and forecasts whether NUTN passes the 2011 HEEACT university assessment or not is also presented in this paper. Finally, NUTN fully passed 2011 university assessment in Taiwan and the results of our simulations are similar to the opinions of the HEEACT reviewers. It shows that the proposed fuzzy ontology and FML-based knowledge management system can work effectively for university governance and management.
關鍵字:Fuzzy ontology Fuzzy markup language (FML) University governance University assessment Knowledge management
著作名稱:用模糊層級分析法評選新興生物辨識科技 Applying Fuzzy AHP to Evaluate and Select Emerging Biometric Technologies
年度:2013
類別:期刊論文
摘要: 生物辨識科技(Biometric technologies)近幾年在資訊產業被廣泛地推廣來強化安全性與隱私性,並形成一個新興產業。以往生物辨識只有應用在特殊領域,但目前逐漸開始應用在消費型電子產品來解決安全性與隱私性問題,所以本研究根據傳統科技評估準則結合生物辨識科技本身特性,透過模糊層級分析法(fuzzy analytic hierarchy process,FAHP)來評選與建議。另外,本研究利用最佳解模糊化之績效值(non-fuzzy best performance,BNP)來協助達成多目標評準之目的。雖然研究結果首先顯示傳統科技評估準則仍是佔了重要的比重,接著才是生物辨識科技個別的競爭性和生物辨識科技的基本要素,但仍指出研究目標科技的特性需要被特別考慮。結論顯示指紋辨識(fingerprint recognition)、虹膜辨識(iris recognition)和臉部辨識(face recognition) 在進行生物辨識技術評選時,具有較大的優勢。
關鍵字:生物辨識技術 ; 科技評選 ; 模糊層級分析法 ; 最佳解模糊化之績效值