Fuzzy and Multi-Level Decision Making: Soft Computing Approaches

• Main Authors: Cheng, Chi-Bin (Author, http://id.loc.gov/vocabulary/relators/aut), Shih, Hsu-Shih (http://id.loc.gov/vocabulary/relators/aut), Lee, E. Stanley (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 2nd ed. 2019.
• Series: Studies in Fuzziness and Soft Computing, 368
• Subjects: Computational intelligence.; Operations research.; Decision making.; Computer simulation.; Business logistics.; Engineering economics.; Engineering economy.; Computational Intelligence.; Operations Research/Decision Theory.; Simulation and Modeling.; Supply Chain Management.; Engineering Economics, Organization, Logistics, Marketing.

This book offers a comprehensive overview of cutting-edge approaches for decision-making in hierarchical organizations. It presents soft-computing-based techniques, including fuzzy sets, neural networks, genetic algorithms and particle swarm optimization, and shows how these approaches can be effect...

Table of Contents:

• Introduction
• Linear Bi-level Programming
• Possibility Theory and Fuzzy Optimization
• Fuzzy Interactive Multi-level Decision Making
• Aggregation of Fuzzy Systems in Multi-level Decisions
• Multi-level Optimization by Fuzzy Dynamic Programming
• Auction Mechanisms for Solving Multi-level Programming
• Neural Networks for Solving Multi-level Programming
• Metaheuristics for Multi-level Optimization.