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 Content
Chapter 1. Introduction to Fuzzy Group Decision Making.- Chapter 2. Fuzzy Group Decision-making Methods.- Chapter 3. Deriving the Priorities of Criteria.- Chapter 4. Consensus Measurement and Enhancement.- Chapter 5. Aggregation Mechanisms.
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