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Fuzzy Multi-Criteria Decision Making

Theory and Applications with Recent Developments

  • Book
  • © 2008

Overview

Editors:
  1. Cengiz Kahraman

    1. Department of Industrial Engineering, Istanbul Technical University, Istanbul, Turkey

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  • Classifies recent fuzzy multi-criteria decision-making methods and introduces them by theory and applications
  • Includes supplementary material: sn.pub/extras

Part of the book series: Springer Optimization and Its Applications (SOIA, volume 16)

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Table of contents (22 chapters)

  1. Front Matter

    Pages i-xv
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  2. Fuzzy MADM Methods and Applications

    1. Multi-Criteria Decision Making Methods and Fuzzy Sets

      • Cengiz Kahraman
      Pages 1-18

    2. Intelligent Fuzzy Multi-Criteria Decision Making: Review and Analysis

      • Waiel F. Abd El-Wahed
      Pages 19-50

    3. Fuzzy Analytic Hierarchy Process and its Application

      • Tufan Demirel, Nihan Çetin Demirel, Cengiz Kahraman
      Pages 53-83

    4. A SWOT-AHP Application Using Fuzzy Concept: E-Government in Turkey

      • Cengiz Kahraman, Nihan Çetin Demirel, Tufan Demirel, Nüfer Yasin Ateş
      Pages 85-117

    5. Fuzzy Outranking Methods: Recent Developments

      • Ahmed Bufardi, Razvan Gheorghe, Paul Xirouchakis
      Pages 119-157

    6. Fuzzy Multi-Criteria Evaluation of Industrial Robotic Systems Using Topsis

      • Cengiz Kahraman, Ihsan Kaya, Sezi ©evik, Nüfer Yasin Ates, Murat Gülbay
      Pages 159-186

    7. Fuzzy Multi-Attribute Scoring Methods with Applications

      • Cengiz Kahraman, Semra Birgün, Vedat Zeki Yenen
      Pages 187-208

    8. Fuzzy Multi-Attribute Decision Making Using an Information Axiom-Based Approach

      • Cengiz Kahraman, Osman Kulak
      Pages 209-233

    9. Measurement of Level-of-Satisfaction of Decision Maker in Intelligent Fuzzy-MCDM Theory: A Generalized Approach

      • Pandian Vasant, Arijit Bhattacharya, Ajith Abraham
      Pages 235-261

    10. FMS Selection Under Disparate Level-of-Satisfaction of Decision Making Using an Intelligent Fuzzy-MCDM Model

      • Arijit Bhattacharya, Ajith Abraham, Pandian Vasant
      Pages 263-280

    11. Simulation Support to Grey-Related Analysis: Data Mining Simulation

      • David L. Olson, Desheng Wu
      Pages 281-299

    12. Neuro-Fuzzy Approximation of Multi-Criteria Decision-Making QFD Methodology

      • Ajith Abraham, Pandian Vasant, Arijit Bhattacharya
      Pages 301-321

  3. Fuzzy MODM Methods and Applications

    1. Fuzzy Multiple Objective Linear Programming

      • Cengiz Kahraman, İhsan Kaya
      Pages 325-337

    2. Quasi-Concave and Nonconcave FMODM Problems

      • Chian-Son Yu, Han-Lin Li
      Pages 339-373

    3. Interactive Fuzzy Multi-Objective Stochastic Linear Programming

      • Masatoshi Sakawa, Kosuke Kato
      Pages 375-408

    4. An Interactive Algorithm for Decomposing: The Parametric Space in Fuzzy Multi-Objective Dynamic Programming Problems

      • Mahmoud A. Abo-Sinna, A. H. Amer, Hend H. EL Sayed
      Pages 409-429

    5. Goal Programming Approaches for Solving Fuzzy Integer Multi-Criteria Decision-Making Problems

      • Omar M. Saad
      Pages 431-451

    6. Grey Fuzzy Multi-Objective Optimization

      • P. P. Mujumdar, Subhankar Karmakar
      Pages 453-482

    7. Fuzzy Multi-Objective Decision-Making Models and Approaches

      • Jie Lu, Guangquan Zhang, Da Ruan
      Pages 483-522
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Keywords

About this book

In trying to make a satisfactory decision when imprecise and multicriteria situations are involved, a decision maker has to use a fuzzy multicriteria decision making method. "Fuzzy Multi-Criteria Decision Making" (MCDM) presents fuzzy multiattribute and multiobjective decision-making methodologies by distinguished MCDM researchers.

In summarizing the concepts and results of the most popular fuzzy multicriteria methods, using numerical examples, this work examines all the fuzzy multicriteria methods recently developed, such as fuzzy AHP, fuzzy TOPSIS, interactive fuzzy multiobjective stochastic linear programming, fuzzy multiobjective dynamic programming, grey fuzzy multiobjective optimization, fuzzy multiobjective geometric programming, and more. Each of the 22 chapters includes practical applications along with new developments/results.

This book may be used as a textbook in graduate operations research, industrial engineering, and economics courses. It will also be an excellent resource, providing new suggestions and directions for further research, for computer programmers, mathematicians, and scientists in a variety of disciplines where multicriteria decision making is needed.

Editors and Affiliations

  • Department of Industrial Engineering, Istanbul Technical University, Istanbul, Turkey

    Cengiz Kahraman

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