Advances in Fuzzy Group Decision Making / by Tin-Chih Toly Chen.

Format:

Book

Author/Creator:

Chen, Toly, 1969- author.

Series:

SpringerBriefs in Applied Sciences and Technology, 2191-5318

Language:

English

Subjects (All):

Data mining.

Computational intelligence.

Artificial intelligence.

Industrial management.

Data Mining and Knowledge Discovery.

Computational Intelligence.

Artificial Intelligence.

Industrial Management.

Local Subjects:

Data Mining and Knowledge Discovery.

Computational Intelligence.

Artificial Intelligence.

Industrial Management.

Physical Description:

1 online resource (94 pages)

Edition:

1st ed. 2021.

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2021.

Summary:

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.

Contents:

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.

ISBN:

3-030-86208-9

OCLC:

1268361510