Overview
- 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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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.
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Keywords
Table of contents (22 chapters)
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Front Matter
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Fuzzy MADM Methods and Applications
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Fuzzy MODM Methods and Applications
Editors and Affiliations
Bibliographic Information
Book Title: Fuzzy Multi-Criteria Decision Making
Book Subtitle: Theory and Applications with Recent Developments
Editors: Cengiz Kahraman
Series Title: Springer Optimization and Its Applications
DOI: https://doi.org/10.1007/978-0-387-76813-7
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag US 2008
Hardcover ISBN: 978-0-387-76812-0Published: 19 August 2008
Softcover ISBN: 978-1-4419-4575-4Published: 23 November 2010
eBook ISBN: 978-0-387-76813-7Published: 09 August 2008
Series ISSN: 1931-6828
Series E-ISSN: 1931-6836
Edition Number: 1
Number of Pages: XV, 590
Number of Illustrations: 157 b/w illustrations
Topics: Artificial Intelligence, Operations Research, Management Science, Optimization, Mathematical and Computational Engineering