Pairwise Comparison Matrices and their Fuzzy Extension: Multi-criteria Decision Making with a New Fuzzy Approach (Studies in Fuzziness and Soft Computing, 366, Band 366) [Hardcover] Krej?í, Jana
Language: English
Published by Springer, 2018
Series: Book 133 of 183 - Studies in Fuzziness and Soft Computing
- First Edition
- Hardcover
- Used
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- Title
- Pairwise Comparison Matrices and their Fuzzy Extension: Multi-criteria Decision Making with a New Fuzzy Approach (Studies in Fuzziness and Soft Computing, 366, Band 366) [Hardcover] Krej?í, Jana
- Author
- Krejčí, Jana
- Publisher
- Springer
- Publication year
- 2018
- Condition
- Very Good
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3319777149
- ISBN 13
- 9783319777146
- Edition
- 1. Auflage
- Series
- Book 133 of 183: Studies in Fuzziness and Soft Computing
This book offers the first comprehensive and critical literature review of fuzzy pairwise comparison methods derived from methods originally developed for crisp pairwise comparison matrices. It proposes new fuzzy extensions of these methods and provides a detailed study of the differences and analogies between all the reviewed methods, as well as a detailed description of their drawbacks, with the help of many numerical examples. In order to prevent the drawbacks related to the reviewed fuzzy pairwise comparison methods, the book introduces constrained fuzzy arithmetic in fuzzy extension of the pairwise comparison methods. It proposes new fuzzy pairwise comparison methods based on constrained fuzzy arithmetic and critically compares them with the reviewed methods. It describes the application of the newly developed methods to incomplete large-dimensional pairwise comparison matrices showcased in a real-life case study. Written for researchers, graduate and PhD students interested inmulti-criteria decision making methods based on both crisp and fuzzy pairwise comparison matrices, this self-contained book offers an overview of cutting-edge research and all necessary information to understand the described tools and use them in real-world applications.
"Synopsis" may belong to another edition of this title.
From the Back Cover
This book offers the first comprehensive and critical literature review of fuzzy pairwise comparison methods derived from methods originally developed for crisp pairwise comparison matrices. It proposes new fuzzy extensions of these methods and provides a detailed study of the differences and analogies between all the reviewed methods, as well as a detailed description of their drawbacks, with the help of many numerical examples. In order to prevent the drawbacks related to the reviewed fuzzy pairwise comparison methods, the book introduces constrained fuzzy arithmetic in fuzzy extension of the pairwise comparison methods. It proposes new fuzzy pairwise comparison methods based on constrained fuzzy arithmetic and critically compares them with the reviewed methods. It describes the application of the newly developed methods to incomplete large-dimensional pairwise comparison matrices showcased in a real-life case study. Written for researchers, graduate and PhD students interested inmulti-criteria decision making methods based on both crisp and fuzzy pairwise comparison matrices, this self-contained book offers an overview of cutting-edge research and all necessary information to understand the described tools and use them in real-world applications.
"About the title" may belong to another edition of this title.
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