Fuzzy Multiple Attribute Decision Making : Methods and Applications /

This monograph is intended for a graduate course of engineering and management science, as well as for persons who want an introductory and a capsule look into the theories and methodologies of multiple attribute decision making under a fuzzy environment. Moving from classical MADM introduces a grea...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Chen, Shu-Jen
Otros Autores: Hwang, C. L. (Ching Lai)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg, 1992.
Colección:Lecture notes in economics and mathematical systems ; 375.
Temas:
Economics.
Engineering mathematics.
Economics
Économie politique.
Mathématiques de l'ingénieur.
economics.
Economía
Matemáticas para ingenieros
Engineering mathematics
Acceso en línea:Texto completo
Tabla de Contenidos:
  • I. Introduction
  • II. Multiple Attribute Decision Making
  • An Overview
  • 2.1 Basics and Concepts
  • 2.2 Classifications of MADM Methods
  • 2.3 Description of MADM Methods
  • III. Fuzzy Sets and their Operations
  • 3.1 Introduction
  • 3.2 Basics of Fuzzy Sets
  • 3.3 Set-Theoretic Operations with Fuzzy Sets
  • 3.4 The Extension Principle and Fuzzy Arithmetics
  • 3.5 Conclusions
  • IV. Fuzzy Ranking Methods
  • 4.1 Introduction
  • 4.2 Ranking Using Degree of Optimality
  • 4.3 Ranking Using Hamming Distance
  • 4.4 Ranking Using?-Cuts
  • 4.5 Ranking Using Comparison Function
  • 4.6 Ranking Using Fuzzy Mean and Spread
  • 4.7 Ranking Using Proportion to The Ideal
  • 4.8 Ranking Using Left and Right Scores
  • 4.9 Ranking with Centroid Index
  • 4.10 Ranking Using Area Measurement
  • 4.11 Linguistic Ranking Methods
  • V. Fuzzy Multiple Attribute Decision Making Methods
  • 5.1 Introduction
  • 5.2 Fuzzy Simple Additive Weighting Methods
  • 5.3 Analytic Hierarchical Process (AHP) Methods
  • 5.4 Fuzzy Conjunctive/Disjunctive Method
  • 5.5 Heuristic MAUF Approach
  • 5.6 Negi's Approach
  • 5.7 Fuzzy Outranking Methods
  • 5.8 Maximin Methods
  • 5.9 A New Approach to Fuzzy MADM Problems
  • VI. Concluding Remarks
  • 6.1 MADM Problems and Fuzzy Sets
  • 6.2 On Existing MADM Solution Methods
  • 6.3 Critiques of the Existing Fuzzy Methods
  • 6.4 A New Approach to Fuzzy MADM Problem Solving
  • 6.5 Other Multiple Criteria Decision Making Methods
  • 6.6 On Future Studies
  • VII. Bibliography.

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