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Hesitant Fuzzy and Probabilistic Information Fusion [electronic resource] : Theory and Applications / by Zhan Su, Zeshui Xu, Shen Zhang.

By: Contributor(s): Material type: TextSeries: Uncertainty and Operations ResearchPublisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2024Edition: 1st ed. 2024Description: XIV, 145 p. 27 illus., 22 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9789819731404
Subject(s):
Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleLOC classification:
  • T57.6-.97
Online resources:
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.
In: Springer Nature eBookSummary: 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.
Item type: List(s) this item appears in: Titluri cărți electronice Springer Nature 2025 (10631 titluri)
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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.

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.

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