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  1. No Access

    Article

    A Model for Successor Selection and Training in the Family-Owned Traditional Manufacturing Businesses: Bi-fuzzy Approaches of Triangular Fuzzy and Single-Valued Neutrosophic Set

    In the family-owned traditional manufacturing businesses, the intricate required competencies and traits of a successful successor resulting in ineffectual acquirement of competent successors could be regarded...

    Ching Ching Fang, Sun-Weng Huang in International Journal of Fuzzy Systems (2023)

  2. Article

    Improving Service Quality of Wealth Management Bank for High-Net-Worth Customers During COVID-19: A Fuzzy-DEMATEL Approach

    The 2019–2020 COVID-19 pandemic has caused an economic turndown and high volatility in the global financial markets. Determining the factors that influence services to high-net-worth customers who typically ha...

    Arthur J. Lin, Hai-Yen Chang, Sun-Weng Huang in International Journal of Fuzzy Systems (2021)

  3. Article

    Exploring the Key Factors for Preventing Public Health Crises Under Incomplete Information

    The spread of COVID-19 has triggered one of the largest pandemics in modern human history. Humanity is still in the incomplete information period for this infectious disease, and how to effectively deal with s...

    Sun-Weng Huang, James J. H. Liou, Hai-Hua Chuang in International Journal of Fuzzy Systems (2021)

  4. No Access

    Chapter and Conference Paper

    Assessment and Improvement of Intelligent Technology in Architectural Design Satisfactory Development Advantages Management

    In the Internet era, the competitiveness of global building design smart technologies continues to increase, inevitably forcing smart building design to re-examine the application of smart systems, the develop...

    Vivien Yi-Chun Chen, Jerry Chao-Lee Lin, Zheng Wu in Intelligent Decision Technologies (2021)

  5. No Access

    Article

    A hybrid MCDM-based FMEA model for identification of critical failure modes in manufacturing

    The effective identification of critical failure modes of individual equipment components or processes and the development of plans for improvement are crucial for the manufacturing industry. Recently, the fai...

    Huai-Wei Lo, William Shiue, James J. H. Liou, Gwo-Hshiung Tzeng in Soft Computing (2020)

  6. No Access

    Article

    Evaluation of and improvement planning for smart homes using rough knowledge-based rules on a hybrid multiple attribute decision-making model

    This paper proposes fuzzy integral-based decision methods to identify the core factors and their relationships for smart homes product improvement. The dominance-based rough set approach was used to retrieve c...

    Yupeng Liu, Manyu Li, Yifei Chen, Gwo-Hshiung Tzeng in Soft Computing (2020)

  7. Article

    Open Access

    Improving search engine optimization (SEO) by using hybrid modified MCDM models

    Search engine optimization (SEO) has been considered one of the most important techniques in internet marketing. This study establishes a decision model of search engine ranking for administrators to improve t...

    Hung-Jia Tsuei, Wei-Ho Tsai, Fu-Te Pan, Gwo-Hshiung Tzeng in Artificial Intelligence Review (2020)

  8. No Access

    Article

    Comparing Two Novel Hybrid MRDM Approaches to Consumer Credit Scoring Under Uncertainty and Fuzzy Judgments

    In the recent years, various statistical and computational intelligence or machine learning techniques have contributed to the progress of automation or semiautomation for measuring consumer credit scoring in ...

    Kao-Yi Shen, Hioshi Sakai, Gwo-Hshiung Tzeng in International Journal of Fuzzy Systems (2019)

  9. No Access

    Chapter and Conference Paper

    Multi-graded Hybrid MRDM Model for Assisting Financial Performance Evaluation Decisions: A Preliminary Work

    This study proposes a novel multiple rule-base decision-making (MRDM) model to transform the current bipolar model into a multi-graded one based on the theoretical foundation of rough set approximations. In th...

    Kao-Yi Shen, Hiroshi Sakai, Gwo-Hshiung Tzeng in Rough Sets (2019)

  10. No Access

    Article

    Strategizing for Better Life Development Using OECD Well-being Indicators in a Hybrid Fuzzy MCDM Model

    Because gross domestic product is a deficient measure of well-being, designing well-being indicators has become a new international trend for informing government policies to better citizens’ lives. To facilit...

    Shu-Kung Hu, Gwo-Hshiung Tzeng in International Journal of Fuzzy Systems (2017)

  11. No Access

    Chapter and Conference Paper

    Stable Rules Evaluation for a Rough-Set-Based Bipolar Model: A Preliminary Study for Credit Loan Evaluation

    The modern business environment is full of uncertain and imprecise circumstances that require decision makers (DMs) to conduct informed and circumspect decisions. In this regard, rough set theory (RST) has bee...

    Kao-Yi Shen, Hiroshi Sakai, Gwo-Hshiung Tzeng in Rough Sets (2017)

  12. No Access

    Article

    Contextual Improvement Planning by Fuzzy-Rough Machine Learning: A Novel Bipolar Approach for Business Analytics

    Nearly all companies need to retrieve valuable information from business data to increase its efficiency or value, and the rising interests of research in this domain could be named as business analytics. Beca...

    Kao-Yi Shen, Gwo-Hshiung Tzeng in International Journal of Fuzzy Systems (2016)

  13. No Access

    Article

    Improving Mobile Commerce Adoption Using a New Hybrid Fuzzy MADM Model

    As mobile commerce (m-commerce) has continued to grow via advancements in wireless and mobile technology, the issue of m-commerce has become more significant. To improve m-commerce adoption, companies should e...

    Shu-kung Hu, Ming-Tsang Lu, Gwo-Hshiung Tzeng in International Journal of Fuzzy Systems (2015)

  14. No Access

    Article

    Fuzzy Inference-Enhanced VC-DRSA Model for Technical Analysis: Investment Decision Aid

    To support investment decision based on technical analysis (TA), this study aims to retrieve the knowledge or rules of various indicators by a hybrid soft computing model. Although the validity of TA has been ...

    Kao-Yi Shen, Gwo-Hshiung Tzeng in International Journal of Fuzzy Systems (2015)

  15. No Access

    Article

    A decision rule-based soft computing model for supporting financial performance improvement of the banking industry

    This study attempts to diagnose the financial performance improvement of commercial banks by integrating suitable soft computing methods. The diagnosis of financial performance improvement comprises of three p...

    Kao-Yi Shen, Gwo-Hshiung Tzeng in Soft Computing (2015)

  16. No Access

    Chapter and Conference Paper

    Investigation of Time Interval Size Effect on SVM Model in Emotion Norm Database

    Few studies have focused on investigating the time interval effects on support vector machine (SVM) model in emotion recognition. This study tested original averaged value models and difference value models wi...

    Chih-Hung Wu, Bor-Chen Kuo in New Trends in Intelligent Information and … (2015)

  17. No Access

    Chapter and Conference Paper

    Knowledge Supported Refinements for Rough Granular Computing: A Case of Life Insurance Industry

    Dominance-based rough set approach (DRSA) has been adopted in solving various multiple criteria classification problems with positive outcomes; its advantage in exploring imprecise and vague patterns is especi...

    Kao-Yi Shen, Gwo-Hshiung Tzeng in Rough Sets, Fuzzy Sets, Data Mining, and G… (2015)

  18. No Access

    Chapter and Conference Paper

    Factor Analysis as the Feature Selection Method in an Emotion Norm Database

    Few studies have focused on integrating affective computing and soft computing technique for human physiology signals recognition in digital content learning system. This study develops a human affective norm ...

    Chih-Hung Wu, Bor-Chen Kuo in Intelligent Information and Database Syste… (2014)

  19. No Access

    Chapter and Conference Paper

    Decision Rules-Based Probabilistic MCDM Evaluation Method – An Empirical Case from Semiconductor Industry

    Dominance-based rough set approach has been widely applied in multiple criteria classification problems, and its major advantage is the inducted decision rules that can consider multiple attributes in differen...

    Kao-Yi Shen, Gwo-Hshiung Tzeng in Rough Sets and Intelligent Systems Paradigms (2014)

  20. No Access

    Chapter

    The Impact Rules of Recommendation Sources for Adoption Intention of Micro-blog Based on DRSA with Flow Network Graph

    A micro-blog is a social media tool that allows users to write short text messages for public and private networks. This research focuses specifically on the micro-blog on Facebook. The main purposes of this s...

    Yang-Chieh Chin, Chiao-Chen Chang in Rough Sets and Intelligent Systems - Profe… (2013)

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