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Decision-Making Analyses with Thermodynamic Parameters and Hesitant Fuzzy Linguistic Preference Relations / by Peijia Ren, Zeshui Xu

By: Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Studies in Fuzziness and Soft Computing ; 409Publisher: Cham : Springer International Publishing, 2021Publisher: Cham : Imprint: Springer, 2021Edition: 1st ed. 2021Description: 1 Online-Ressource(XII, 130 p. 29 illus., 19 illus. in color.)ISBN:
  • 9783030732530
Subject(s): Additional physical formats: 9783030732523 | 9783030732547 | 9783030732554 | Erscheint auch als: 9783030732523 Druck-Ausgabe | Erscheint auch als: 9783030732547 Druck-Ausgabe | Erscheint auch als: 9783030732554 Druck-AusgabeDDC classification:
  • 006.3 23
DOI: DOI: 10.1007/978-3-030-73253-0Online resources: Summary: : Chapter 1: Introduction -- Chapter 2: Literature Review -- Chapter 3 A Thermodynamic Method For Intuitionistic Fuzzy Decision Making -- Chapter 4. A Thermodynamic Method For Hesitant Fuzzy Decision Making Based On Prospect Theory -- Chapter 5: A Thermodynamic Method For Heterogeneous Decision Making Based On Confidence Level -- Chapter 6: A Programming Model For Hesitant Fuzzy Linguistic Preference Relation.Summary: The book introduces readers to some of the latest advances in and approaches to decision-making methods based on thermodynamic characters and hesitant fuzzy linguistic preference relations. By investigating the decision-making methods with thermodynamic parameters based on different information representatives, the book offers readers a novel perspective for solving problems under uncertainty. By exploring the consistency and consensus of hesitant fuzzy linguistic preference relations, the book gives readers efficient ways for preference analysis under uncertainty, chiefly intended for researchers and practitioners working in operations research, multi-attribute decision making, preference analysis, etc. The book can also be used as supplementary material for postgraduate and senior-year undergraduate students of the relevant professional institutions.PPN: PPN: 1759347566Package identifier: Produktsigel: ZDB-2-INR | ZDB-2-SEB | ZDB-2-SXIT
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