Zhan S. Hesitant Fuzzy and Probabilistic Information Fusion Theory and Apps 2024

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