Textbook in PDF format

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. Preface List of Figures 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