Modeling Complex Linguistic Information to Support Group Decision Making under Uncertainty: Theories, Methods and Applications

Linguistic Computational Models for Computing with Words -- Basic Linguistic Computation Models for Computing with Words -- Linguistic Computational Models for Modeling Complex Linguistic Information -- MAGDM Methods Based on Multi-granular Linguistic Information -- Consensus-based Method for MAGDM...

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Bibliographische Detailangaben
Hauptverfasser: Zhang, Zhen, Yu, Wenyu, Li, Zhuolin
Format: Buch
Sprache:eng
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Zusammenfassung:Linguistic Computational Models for Computing with Words -- Basic Linguistic Computation Models for Computing with Words -- Linguistic Computational Models for Modeling Complex Linguistic Information -- MAGDM Methods Based on Multi-granular Linguistic Information -- Consensus-based Method for MAGDM with Multi-granular Unbalanced Linguistic Information -- MALGDM Method with Multi-granular Linguistic Information -- MAGDM Methods Based on Hesitant Fuzzy Linguistic Information -- MAGDM with Multi-granular HFLTSS: A Minimum Adjustment-Based Consensus Model -- Extended TODIM for MAGDM Based on Unbalanced HFLTSS -- A Linguistic Distribution-based Approach to MALGDM with Multi-granular Unbalanced Hesitant Fuzzy Linguistic Information -- PISs-Based Linguistic GDM Methods -- Consistency and Consensus Driven Method for GDM Based on PISs -- A PISs-Based Approach to SNGDM: Managing Non-Cooperative Behavior.
ISSN:2195-996X
2195-9978
DOI:10.1007/978-981-97-3584-6