Fuzzy Sets-Based Methods and Techniques for Modern Analytics

• Κύριοι συγγραφείς: Ebrahimnejad, Ali (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Verdegay, José Luis (http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Σειρά: Studies in Fuzziness and Soft Computing, 364
• Θέματα: Computational intelligence.; Operations research.; Decision making.; Artificial intelligence.; Management science.; Computational Intelligence.; Operations Research/Decision Theory.; Artificial Intelligence.; Operations Research, Management Science.
• Φυσική περιγραφή: XIII, 361 p. 20 illus., 9 illus. in color. online resource.
• ISBN: 9783319739038
• ISSN: 1434-9922 ;
• DOI: 10.1007/978-3-319-73903-8

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.