Su, Zhan <br/><br/>
Hesitant fuzzy and probabilistic information fusion:  theory and applications 

 - Singapore  Springer  2024 
 - xiv, 145 p 
 - Uncertainty and Operations Research .
<br/><br/> Table of content:<br/>Introduction<br/>Zhan Su, Zeshui Xu, Shen Zhang<br/>Pages 1-15<br/>Probability-Based Hesitant Fuzzy Opinion Dynamics Decision-Making Method<br/>Zhan Su, Zeshui Xu, Shen Zhang<br/>Pages 17-47<br/>Distribution-Based Decision-Making Method for Dual Hesitant Fuzzy Information<br/>Zhan Su, Zeshui Xu, Shen Zhang<br/>Pages 49-72<br/>Multi-Attribute Decision-Making Method Based on Probabilistic Hesitant Fuzzy Entropy<br/>Zhan Su, Zeshui Xu, Shen Zhang<br/>Pages 73-98<br/>Probability-Based Integration for Continuous Hesitant Fuzzy Information in Group Decision-Making<br/>Zhan Su, Zeshui Xu, Shen Zhang<br/>Pages 99-125<br/>Probability-Based Political Risk Assessment in the Belt and Road Investment<br/>Zhan Su, Zeshui Xu, Shen Zhang<br/>Pages 127-140<br/>Back Matter<br/>Pages 141-145<br/><br/>[https://link.springer.com/book/10.1007/978-981-97-3140-4] 
<br/><br/> 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.<br/><br/>(https://link.springer.com/book/10.1007/978-981-97-3140-4) 
<br/><br/><label>ISBN: </label>9789819731398 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Fuzzy decision making
<br/><br/><label>Dewey Class. No.: </label>518  / SU