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This book mainly introduces some techniques of decision-making, uncertain reasoning and regression analysis under the hesitant fuzzy environment and expands the applications of hesitant fuzzy sets in solving practical problems. The book pursues three major objectives: (1) to introduce some techniques about decision-making, uncertain reasoning and regression analysis under the hesitant fuzzy environment, (2) to prove these techniques theoretically and (3) to apply the involved techniques to practical problems. The book is especially valuable for readers to understand how hesitant fuzzy set could be employed in decision-making, uncertain reasoning and regression analysis and motivates researchers to expand more application fields of hesitant fuzzy set.
Preface
Introduction
TODIM Decision Making Method Based on the Hesitant Fuzzy Psychological Distance Measure
Dynamic Decision Making Method Based on the Hesitant Fuzzy Decision Field Theory
Uncertain Reasoning Algorithm Under the Hesitant Fuzzy Environment
Regression Analysis Models Under the Hesitant Fuzzy Environment
Decision Making Methods Based on Probabilistic and Interval-Valued Probabilistic Hesitant Fuzzy Sets
References