Several Intuitionistic Fuzzy Multi-Attribute Decision Making Methods and Their Applications, 1st ed. 2020 Uncertainty and Operations Research Series

This book introduces readers to the latest advances in and approaches to intuitionistic fuzzy decision-making methods. To do so, it explores a range of applications to practical decision-making problems, together with representative case studies. Examining a host of decision-making methods, most of which are based on intuitionistic fuzzy aggregation operators, its goal is to offer readers a new way to study decision-making methods in the intuitionistic fuzzy environment. Chiefly intended for practitioners and researchers working in the areas of risk management, decision-making under uncertainty, and operational research, the book can also be used as supplementary material for graduate and senior undergraduate courses in these areas.

Introduction.- Decision Making Method Based on Distance Measure and Similarity Measure.- Dynamic Decision Making Method Based on The Intuitionistic Fuzzy Bayesian Network.- Novel Intuitionistic Fuzzy Decision Making Models in The Framework of Decision Field Theory.- Decision Making Method Under Probabilistic and Cognitive Environment.- Appendix. 

Zhinan Hao received the Ph.D. degree in computer science and technology from Army Engineering University of PLA, Nanjing, China, in 2018. He has contributed 4 journal articles to professional journals, and his current research interests include decision making and fuzzy sets.