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This book presents a systematic introduction to hesitant fuzzy theory. Coverage includes hesitant fuzzy aggregation techniques, hesitant fuzzy measures, hesitant fuzzy clustering algorithms and hesitant fuzzy multi-attribute decision making methods.
This book provides the readers with a thorough and systematic introduction to hesitant fuzzy theory. It presents the most recent research results and advanced methods in the field. These includes: hesitant fuzzy aggregation techniques, hesitant fuzzy preference relations, hesitant fuzzy measures, hesitant fuzzy clustering algorithms and hesitant fuzzy multi-attribute decision making methods. Since its introduction by Torra and Narukawa in 2009, hesitant fuzzy sets have become more and more popular and have been used for a wide range of applications, from decision-making problems to cluster analysis, from medical diagnosis to personnel appraisal and information retrieval. This book offers a comprehensive report on the state-of-the-art in hesitant fuzzy sets theory and applications, aiming at becoming a reference guide for both researchers and practitioners in the area of fuzzy mathematics and other applied research fields (e.g. operations research, information science, management science and engineering) characterized by uncertain ("hesitant") information. Because of its clarity and self contained explanations, the book can also be adopted as a textbook from graduate and advanced undergraduate students.
Self-contained introduction to the field of hesitant fuzzy sets Presents the state-of-the-art in hesitant fuzzy theory and applications Written by a leading expert in the field
Auteur
Zeshui Xu received the PhD degree in management science and engineering from Southeast University, Nanjing, China, in 2003. From April 2003 to May 2005, he was a Postdoctoral Researcher with the School of Economics and Management, Southeast University. From October 2005 to December 2007, he was a Postdoctoral Researcher with the School of Economics and Management, Tsinghua University, Beijing, China. From November 2008 to February 2009, February 2010 to May 2010, February 2011 to May 2011, and on August 2009, he was a Visiting Research Scholar at the Chinese University of Hong Kong, Shatin, N.T., Hong Kong. He is currently an IEEE Senior Member, Reviewer of Mathematical Reviews of American Mathematical Society, and an Adjunct Professor with the Antai School of Economic and Management, Shanghai Jiaotong University, Shanghai, China; an Adjunct Professor with the School of Economics and Management, Southeast University Nanjing, Jiangsu, China. He is also currently a Chair Professor with the Sciences Institute, PLA University of Science and Technology, Nanjing, China. He serves on the Editorial Boards of Information: An International Journal, International Journal of Applied Management Science, International Journal of Data Analysis Techniques and Strategies, System Engineering Theory and Practice, Journal of Systems Engineering, and Fuzzy Systems and Mathematics. He has authored three books, and has contributed more than 300 journal articles to professional journals, including IEEE Transactions on Fuzzy Systems, IEEE Transactions on Systems, Man, and Cybernetics, Information Sciences, European Journal of Operational Research, Omega, Decision Support Systems, Journal of Optimization Theory and Applications, Fuzzy Sets and Systems, Group Decision and Negotiation, International Journal of Approximate reasoning, Information Fusion, International Journal of Intelligent Systems, Computers & Industrial Engineering, Expert Systems With Applications, Soft Computing, Applied Soft Computing, Knowledge-Based Systems, International Journal of General Systems, Fuzzy Optimization and Decision Making, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, and International Journal of Information Technology and Decision Making, etc. His current research interests include information fusion, group decision making, computing with words, intuitionistic fuzzy sets, and aggregation operators.
Contenu
Hesitant Fuzzy Aggregation Operators and Their Applications.- Distance, Similarity, Correlation, Entropy Measures and Clustering.- Algorithms for Hesitant Fuzzy Information.- Hesitant Preference Relations.- Hesitant Fuzzy MADM Models.
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