Prof. Dr. Kuei-Hu Chang
R.O.C Military Academy, Kaohsiung City, Taiwan
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Academic Career Length
22Years (2005-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications1 December 2018 in Applied Soft Computing
Journal Article
3 May 2009 in Journal of Intelligent Manufacturing
Journal Article
Kuei-Hu ChangCCChing-Hsue Cheng
Ching-Hsue Cheng20 October 2010 in International Journal of Systems Science
Journal Article
Kuei-Hu ChangCCChing-Hsue Cheng
Ching-Hsue ChengMost current risk assessment methods use the risk priority number (RPN) value to evaluate the risk of failure. However, conventional RPN methodology has been criticised as having five main shortcomings as follows: (1) the assumption that the RPN elements are equally weighted leads to over simplification; (2) the RPN scale itself has some non-intuitive statistical properties; (3) the RPN elements have many duplicate numbers; (4) the RPN is derived from only three factors mainly in terms of safety; and (5) the conventional RPN method has not considered indirect relations between components. To address the above issues, an efficient and comprehensive algorithm to evaluate the risk of failure is needed. This article proposes an innovative approach, which integrates the intuitionistic fuzzy set (IFS) and the decision-making trial and evaluation laboratory (DEMATEL) approach on risk assessment. The proposed approach resolves some of the shortcomings of the conventional RPN method. A case study, which assesses the risk of 0.15 µm DRAM etching process, is used to demonstrate the effectiveness of the proposed approach. Finally, the result of the proposed method is compared with the listing approaches of risk assessment methods.
15 March 2010 in Expert Systems with Applications
Journal Article
Kuei-Hu ChangTWTa-Chun Wen
Ta-Chun Wen
1 July 2013 in Engineering Failure Analysis
Journal Article
About Me
Professor Kuei-Hu Chang received his Bachelor’s degree in Mathematics from the R.O.C. Military Academy in 1996, his Master’s degree in Resources Management from the National Defense Management College in 2000, and his Ph.D. in Industrial Engineering and Management from National Chiao Tung University in 2008. He is currently the Dean of Undergraduate Studies and a Professor in the Department of Management Science at the R.O.C. Military Academy. Professor Chang's research focuses on fuzzy logic, linguistic algorithms, natural language processing, military domain knowledge discovery, soft computing, risk assessment, supply chain management, and reliability engineering. He has published over 120 papers in these fields. In 2020, Reliability Engineering & System Safety (Vol. 199, Article 106885) ranked Professor Chang as second globally in the number of publications related to FMEA (Failure Mode and Effects Analysis) from 1998 to 2018, sixth in total citations, and eighth in average citations. He has been listed among the world’s top 2% of scientists for both annual and career-long scientific impact in the Stanford University global ranking for the years 2020, 2021, 2022, 2023, 2024, and 2025. In addition, according to ScholarGPS (2024), Professor Chang is recognized as the leading global scholar in soft computing publications and is ranked among the top 0.5% of scholars worldwide.