Description
Book SynopsisThis 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.
Table of ContentsIntroduction.- 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.
