Hesitant Fuzzy Methods for Multiple Criteria Decision Analysis

The book offers a comprehensive introduction to methods for solving multiple criteria decision making and group decision making problems with hesitant fuzzy information. It reports on the authors' latest research, as well as on others' research, providing readers with a complete set of dec...

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Detaylı Bibliyografya
Asıl Yazarlar: Zhang, Xiaolu (Yazar), Xu, Zeshui (Yazar)
Müşterek Yazar: SpringerLink (Online service)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : 2017.
Imprint: Springer,
Edisyon:1st ed. 2017.
Seri Bilgileri:Studies in Fuzziness and Soft Computing, 345
Konular:
Computational intelligence.
Operations research.
Management science.
Artificial intelligence.
Computational Intelligence.
Operations Research, Management Science.
Operations Research and Decision Theory.
Artificial Intelligence.
Online Erişim:Full-text access
İçindekiler:
  • Hesitant Fuzzy Multiple Criteria Decision Analysis Based on TOPSIS
  • Hesitant Fuzzy Multiple Criteria Decision Analysis Based on TODIM
  • Hesitant Fuzzy Multiple Criteria Decision Analysis Based on QUALIFLEX
  • Hesitant Fuzzy Multiple Criteria Decision Analysis Based on LINMAP
  • Consensus Model-Based Hesitant Fuzzy Multiple Criteria Group Decision Analysis.

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