Hesitant Fuzzy and Probabilistic Information Fusion
Theory and Applications
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Beschreibung
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.
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.
Provides several solution approaches for uncertain decision-making problems in risk assessment and emergency response Presents two types of entropies for probabilistic hesitant fuzzy information and several decision-making strategies Introduces a new hesitant fuzzy decision-making method based on DeGroot opinion dynamics model
Autor*in
Zhan Su
Themen in »Hesitant Fuzzy and Probabilistic Information Fusion«
Hesitant fuzzy set Probability theory Decision-making Dual hesitant fuzzy set Information fusion Probabilistic hesitant fuzzy set Opinion dynamics Weight determination Risk assessment Entropy measure