Cognitive Science and Artificial Intelli
✍ Sasikumar Gurumoorthy; Bangole Narendra Kumar Rao; Xiao-Zhi Gao
📂 Library
🌐 English
✦ LIBER ✦
📁
Advances in Fuzzy Group Decision Making (SpringerBriefs in Applied Sciences and Technology)
✍ Scribed by Tin-Chih Toly Chen
- Publisher
- Springer
- Year
- 2021
- Tongue
- English
- Leaves
- 94
- Edition
- 1st ed. 2021
- Category
- Library
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✦ Synopsis
This book is focused on fuzzy group decision making, offering technical details including methodology, collaboration and aggregation mechanisms, system architectures, and applications. It explores the two categories of fuzzy-group decision making - anterior-aggregation and posterior-aggregation – and highlights how imperative collaboration amongst decision makers is for both forms.
Advances in Fuzzy Group Decision Making will be of interest to researchers in decision making, artificial intelligence, soft computing, operations management, and information management, as well as practicing managers and engineers.
✦ Table of Contents
Contents
1 Introduction to Fuzzy Group Decision-Making
1.1 Fuzzy Multiple Criteria Decision-Making
1.2 Fuzzy Group Decision-Making
1.3 Organization of This Book
References
2 Fuzzy Group Decision-Making Methods
2.1 Fuzzy Outranking Methods
2.2 FWA
2.3 Fuzzy TOPSIS
2.4 FAHP and Fuzzy BWM
2.5 Fuzzy Collaborative Intelligence Methods
2.6 Fuzzy Group Decision-Making Methods Amid the COVID-19 Pandemic
References
3 Deriving the Priorities of Criteria
3.1 Approximation Methods
3.1.1 Fuzzy Geometric Mean (FGM)
3.1.2 Calibrated FGM (cFGM) Method
3.1.3 Fuzzy Extent Analysis (FEA)
3.1.4 Fuzzy Inverse of Column Sum (FICSM)
3.2 Exact and Near-Exact Methods
3.2.1 Alpha Cut Operations (ACO)
3.2.2 Approximating ACO (xACO) Method
3.2.3 Piecewise Linear FGM (PLFGM) Method
3.3 Fuzzy Measuring Attractiveness by a Categorical Based Evaluation Technique (Fuzzy MACBETH)
References
4 Consensus Measurement and Enhancement
4.1 Similarity-Based and Proximity-Based Consensus Measurement
4.1.1 Consensus on Judgments
4.1.2 Consensus on the Fuzzy Priorities of Criteria
4.1.3 Consensus on the Overall Performances of Alternatives
4.2 Fuzzy Intersection-Based Consensus Measurement
4.2.1 Consensus on Judgments
4.2.2 Consensus on the Fuzzy Priorities of Criteria
4.2.3 Consensus on the Overall Performances of Alternatives
4.2.4 Consensus on the Preferences for Alternatives
4.3 Consensus Enhancement
References
5 Aggregation Mechanisms
5.1 Aggregation Time Points
5.2 Aggregating Decision Makers’ Judgments
5.2.1 Fuzzy (Weighted) Geometric Mean, Fuzzy Arithmetic Mean, and Fuzzy Weighted Average
5.2.2 Linguistic Ordered Weighted Average
5.3 Aggregating the Priorities of Criteria Derived by Decision Makers
5.3.1 Fuzzy Arithmetic Mean, Fuzzy Weighted Average, and Fuzzy (Weighted) Geometric Mean
5.3.2 Fuzzy Intersection, Fuzzy Weighted Intersection, and Partial-Consensus Fuzzy Intersection
5.4 Aggregating the (Overall) Performances of Alternatives Evaluated by Decision Makers
5.4.1 Aggregating the Performances in Optimizing a Criterion Evaluated by Decision Makers
5.4.2 Aggregating the Overall Performances Evaluated by Decision Makers
5.4.3 Aggregating Decision Makers’ Preferences for Alternatives
References
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