Overview
- Describes basic concepts of fuzzy sets for analytics
- Reports on fuzzy optimization models for analytics
- Discusses important applications, such as fuzzy transportation problems
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 364)
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About this book
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.
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Table of contents (5 chapters)
Authors and Affiliations
Bibliographic Information
Book Title: Fuzzy Sets-Based Methods and Techniques for Modern Analytics
Authors: Ali Ebrahimnejad, José Luis Verdegay
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-319-73903-8
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2018
Hardcover ISBN: 978-3-319-73902-1Published: 08 March 2018
Softcover ISBN: 978-3-030-08882-8Published: 14 December 2018
eBook ISBN: 978-3-319-73903-8Published: 23 February 2018
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: XIII, 361
Number of Illustrations: 11 b/w illustrations, 9 illustrations in colour
Topics: Computational Intelligence, Operations Research/Decision Theory, Artificial Intelligence, Operations Research, Management Science