This book offers a comprehensive and systematic introduction to the latest research on hesitant fuzzy decision-making theory. It includes six parts: the hesitant fuzzy set and its extensions, novel hesitant fuzzy measures, hesitant fuzzy hybrid weighted aggregation operators, hesitant fuzzy multiple-criteria decision-making with incomplete weights, hesitant fuzzy multiple criteria decision-making with complete weights information, and the hesitant fuzzy preference relation based decision-making theory. These methodologies are implemented in various fields such as decision-making, medical diagnosis, cluster analysis, service quality management, e-learning management and environmental management. A valuable resource for engineers, technicians, and researchers in the fields of fuzzy mathematics, operations research, information science, management science and engineering, it can also be used as a textbook for postgraduate and senior undergraduate students.
Preface.- 1 Hesitant Fuzzy Set and Its Extensions.- 2 Novel Correlation and Entropy Measures for Hesitant Fuzzy Set.- 3 Multiple Criteria Decision Making with Hesitant Fuzzy Hybrid Weighted Aggregation Operators.- 4 Hesitant Fuzzy Multiple Criteria Decision Making with Complete Weight Information.- 5 Hesitant Fuzzy Multiple Criteria Decision Making with Incomplete Weights.- 6 Decision Making with Hesitant Fuzzy Preference Relation.
Huchang Liao is an associate research fellow at Sichuan University, in Chengdu, China. He was an academic visitor at the School of Computer Science, University of Manchester, UK. He was an Endeavour Research Fellow at the University of Technology Sydney in 2015. He has published one book and more than 40 peer-reviewed papers, many in high-quality international journals including IEEE Transactions on Fuzzy Systems, Information Sciences, Knowledge-Based Systems, Applied Soft Computing, Expert Systems with Appló‡
![Hesitant Fuzzy Decision Making Methodologies and Applications [Paperback]](/itemImage/2/7/2/3/2_1393330.jpg)