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.

Introduces a new intuitionistic fuzzy decision-making method based on a new distance measure and similarity measure for the intuitionistic fuzzy set Presents two types of intuitionistic fuzzy dynamic decision-making method based on Bayesian networks and decision fields, which are rarely covered in related research Discusses the probabilistic dual hesitant fuzzy set and its properties and applications in decision-making

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