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Fuzzy Multi-Criteria Decision Making

Theory and Applications with Recent Developments

  • Cengiz Kahraman

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

Table of contents

  1. Front Matter
    Pages i-xv
  2. Fuzzy MADM Methods and Applications

    1. Tufan Demirel, Nihan Çetin Demirel, Cengiz Kahraman
      Pages 53-83
    2. Cengiz Kahraman, Nihan Çetin Demirel, Tufan Demirel, Nüfer Yasin Ateş
      Pages 85-117
    3. Ahmed Bufardi, Razvan Gheorghe, Paul Xirouchakis
      Pages 119-157
    4. Cengiz Kahraman, Ihsan Kaya, Sezi ©evik, Nüfer Yasin Ates, Murat Gülbay
      Pages 159-186
    5. Cengiz Kahraman, Semra Birgün, Vedat Zeki Yenen
      Pages 187-208
    6. Ajith Abraham, Pandian Vasant, Arijit Bhattacharya
      Pages 301-321
  3. Fuzzy MODM Methods and Applications

    1. Cengiz Kahraman, İhsan Kaya
      Pages 325-337
    2. Chian-Son Yu, Han-Lin Li
      Pages 339-373
    3. Masatoshi Sakawa, Kosuke Kato
      Pages 375-408
    4. P. P. Mujumdar, Subhankar Karmakar
      Pages 453-482
    5. Jie Lu, Guangquan Zhang, Da Ruan
      Pages 483-522
    6. Fernando Jiménez, Gracia Sánchez, Pandian Vasant, José Luis Verdegay
      Pages 523-537
  4. Back Matter
    Pages 589-591

About this book

Introduction

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.

Keywords

algorithms artificial intelligence data mining fuzzy fuzzy set linear optimization multi-objective optimization multiple-criteria decision-making operations research optimization robot

Editors and affiliations

  • Cengiz Kahraman
    • 1
  1. 1.Department of Industrial EngineeringIstanbul Technical UniversityIstanbulTurkey

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