Description
This book introduces the current research progress on hesitant fuzzy decision-making based on probability theory and methods. From the perspectives of theory expansion, information fusion, and information mining, it explores novel perspectives, ideas, and techniques for addressing hesitant fuzzy uncertain decision-making problems and demonstrates them through practical applications and case studies. It aims to provide a reference for researchers, practitioners, and graduate students in the fields of decision analysis, fuzzy theory, and information fusion.
Table of Contents
Introduction.- Probability-based hesitant fuzzy opinion dynamics decision-making method.- Distribution-based decision-making method for dual hesitant fuzzy information.- Multi-attribute decision-making method based on probabilistic hesitant fuzzy entropy.- Probability-based integration for continuous hesitant fuzzy information in group decision-making.- Probability-based political risk assessment in the Belt and Road investment.- Appendix I.- Appendix II.
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