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Fuzzy Multiple Objective Decision Making Methods and Applications

In the last 25 years, the fuzzy set theory has been applied in many disciplines such as operations research, management science, control theory, artificial intelligence/expert system, etc. In this volume, methods and applications of crisp, fuzzy and possibilistic multiple objective decision making a...

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Bibliographic Details
Main Authors: Lai, Young-Jou, Hwang, Ching-Lai (Author)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 1994, 1994
Edition:1st ed. 1994
Series:Lecture Notes in Economics and Mathematical Systems
Subjects:
Operations Research
Industrial Engineering
Mathematical Logic
Operations Research/decision Theory
Artificial Intelligence
Mathematical Logic And Foundations
Decision Making
Industrial And Production Engineering
Production Engineering
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
Table of Contents:
  • 1 Introduction
  • 1.1 Objectives of This Study
  • 1.2 (Fuzzy) Multiple Objective Decision Making
  • 1.3 Classification of (Fuzzy) Multiple Objective Decision Making
  • 1.4 Applications of (Fuzzy) Multiple Objective Decision Making
  • 1.5 Literature Survey
  • 1.6 Fuzzy Sets
  • 2 Multiple Objective Decision Making
  • 2.1 Introduction
  • 2.2 Goal Programming
  • 2.3 Fuzzy Programming
  • 2.4 Global Criterion Approach
  • 2.5 Interactive Multiple Objective Decision Making
  • 2.6 Multiple Objective Linear Fractional Programming
  • 2.7 Multiple Objective Geometric Programming
  • Example
  • 3 Fuzzy Multiple Objective Decision Making
  • 3.1 Fuzzy Goal Programming
  • 3.2 Fuzzy Global Criterion
  • Example
  • 3.3 Interactive Fuzzy Multiple Objective Decision Making
  • 4 Possibilistic Multiple Objective Decision Making
  • 4.1 Introduction
  • 4.2 Possibilistic Multiple Objective Decision Making
  • 4.3 Interactive Methods for PMODM
  • 4.4 Hybrid Problems
  • 4.5 Possibilistic Multiple Objective Linear Fractional Programming
  • 4.6 Interactive Possibilistic Regression
  • 5 Concluding Remarks
  • 5.1 Future Research
  • 5.2 Fuzzy Mathematical Programming
  • 5.3 Multiple Attribute Decision Making
  • 5.4 Fuzzy Multiple Attribute Decision Making
  • 5.5 Group Decision Making under Multiple Criteria
  • Books, Monographs and Conference Proceedings
  • Journal Articles, Technical Reports and Theses
  • Appendix: Stochastic Programming
  • A.1 Stochastic Programming with a Single Objective Function
  • A.1.1 Distribution Problems
  • A.1.2 Two-Stage Programming
  • A.1.3 Chance-Constrained Programming
  • A.2 Stochastic Programming with Multiple Objective Functions
  • A.2.1 Distribution Problem
  • A.2.2 Goal Programming Problem
  • A.2.3 Utility Function Problem
  • A.2.4 Interactive Problem
  • References

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