Fuzzy and Multi-Level Decision Making: Soft Computing Approaches

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...

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Bibliographic Details
Main Authors: Cheng, Chi-Bin (Author), Shih, Hsu-Shih (Author), Lee, E. Stanley (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : 2019.
Imprint: Springer,
Edition:2nd ed. 2019.
Series:Studies in Fuzziness and Soft Computing, 368
Subjects:
Computational intelligence.
Operations research.
Computer simulation.
Business logistics.
Industrial Management.
Computational Intelligence.
Operations Research and Decision Theory.
Computer Modelling.
Supply Chain Management.
Online Access:Full-text access
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.

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