Fuzzy Sets-Based Methods and Techniques for Modern Analytics: 364 (Studies in Fuzziness and Soft Computing)
Language: English
Published by Springer, 2018
Series: Book 131 of 183 - Studies in Fuzziness and Soft Computing
- Softcover
- New

Seller: Biblios, frankfurt am main, hessen, GermanyBiblios
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Condition: New
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- Title
- Fuzzy Sets-Based Methods and Techniques for Modern Analytics: 364 (Studies in Fuzziness and Soft Computing)
- Author
- Ebrahimnejad, Ali; Verdegay, José Luis
- Publisher
- Springer
- Publication year
- 2018
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 3030088820
- ISBN 13
- 9783030088828
- Series
- Book 131 of 183: Studies in Fuzziness and Soft Computing
The book offers a comprehensive, practice-oriented introduction to the field of fuzzy mathematical programming (FMP) as key topic of modern analytics. FMP plays a fundamental role in dealing with a varied range of problems, such as those concerning smart cities, sustainability, and renewable energies. This book includes an introduction to the basic concepts, together with extensive information on the computational-intelligence-based optimization models and techniques that have been used to date. Special emphasis is given to fuzzy transportation problems. The book is a valuable resource for researchers, data scientists and practitioners dealing with computational-intelligence-based optimization models for analytics.
"Synopsis" may belong to another edition of this title.
From the Back Cover
The book offers a comprehensive, practice-oriented introduction to the field of fuzzy mathematical programming (FMP) as key topic of modern analytics. FMP plays a fundamental role in dealing with a varied range of problems, such as those concerning smart cities, sustainability, and renewable energies. This book includes an introduction to the basic concepts, together with extensive information on the computational-intelligence-based optimization models and techniques that have been used to date. Special emphasis is given to fuzzy transportation problems. The book is a valuable resource for researchers, data scientists and practitioners dealing with computational-intelligence-based optimization models for analytics.
"About the title" may belong to another edition of this title.
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