Overview
Editors: Cengiz Kahraman
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)
This is a preview of subscription content, log in via an institution to check access.
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.
Table of contents
Multi-Criteria Decision Making Methods and Fuzzy Sets
Cengiz Kahraman
Pages 1-18
Intelligent Fuzzy Multi-Criteria Decision Making: Review and Analysis
Waiel F. Abd El-Wahed
Pages 19-50
Fuzzy Analytic Hierarchy Process and its Application
Tufan Demirel, Nihan Çetin Demirel, Cengiz Kahraman
Pages 53-83
A SWOT-AHP Application Using Fuzzy Concept: E-Government in Turkey
Cengiz Kahraman, Nihan Çetin Demirel, Tufan Demirel, Nüfer Yasin Ateş
Pages 85-117
Fuzzy Outranking Methods: Recent Developments
Ahmed Bufardi, Razvan Gheorghe, Paul Xirouchakis
Pages 119-157
Fuzzy Multi-Criteria Evaluation of Industrial Robotic Systems Using Topsis
Cengiz Kahraman, Ihsan Kaya, Sezi ©evik, Nüfer Yasin Ates, Murat Gülbay
Pages 159-186
Fuzzy Multi-Attribute Scoring Methods with Applications
Cengiz Kahraman, Semra Birgün, Vedat Zeki Yenen
Pages 187-208
Fuzzy Multi-Attribute Decision Making Using an Information Axiom-Based Approach
Cengiz Kahraman, Osman Kulak
Pages 209-233
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
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
Simulation Support to Grey-Related Analysis: Data Mining Simulation
David L. Olson, Desheng Wu
Pages 281-299
Neuro-Fuzzy Approximation of Multi-Criteria Decision-Making QFD Methodology
Ajith Abraham, Pandian Vasant, Arijit Bhattacharya
Pages 301-321
Fuzzy MODM Methods and Applications
Fuzzy Multiple Objective Linear Programming
Cengiz Kahraman, İhsan Kaya
Pages 325-337
Quasi-Concave and Nonconcave FMODM Problems
Chian-Son Yu, Han-Lin Li
Pages 339-373
Interactive Fuzzy Multi-Objective Stochastic Linear Programming
Masatoshi Sakawa, Kosuke Kato
Pages 375-408
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
Goal Programming Approaches for Solving Fuzzy Integer Multi-Criteria Decision-Making Problems
Omar M. Saad
Pages 431-451
Grey Fuzzy Multi-Objective Optimization
P. P. Mujumdar, Subhankar Karmakar
Pages 453-482
Fuzzy Multi-Objective Decision-Making Models and Approaches
Jie Lu, Guangquan Zhang, Da Ruan
Pages 483-522.
link
