Custom cover image
Custom cover image

Hesitant Fuzzy and Probabilistic Information Fusion : Theory and Applications / by Zhan Su, Zeshui Xu, Shen Zhang

By: Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Uncertainty and Operations ResearchPublisher: Singapore : Springer Nature Singapore, 2024Publisher: Singapore : Imprint: Springer, 2024Description: 1 Online-Ressource (XIV, 145 p. 27 illus., 22 illus. in color.)ISBN:
  • 9789819731404
Subject(s): Additional physical formats: 9789819731398 | 9789819731411 | 9789819731428 | Erscheint auch als: 9789819731398 Druck-Ausgabe | Erscheint auch als: 9789819731411 Druck-Ausgabe | Erscheint auch als: 9789819731428 Druck-AusgabeDOI: DOI: 10.1007/978-981-97-3140-4Online resources: Summary: 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.Summary: 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.PPN: PPN: 189477647XPackage identifier: Produktsigel: ZDB-2-SEB | ZDB-2-BUM | ZDB-2-SXBM
No physical items for this record
KIT – The Research University in the Helmholtz Association                         Home | Impressum | Datenschutz | Barrierefreiheit | KIT