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Record Nr. |
UNINA9910299944103321 |
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Autore |
Ebrahimnejad Ali |
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Titolo |
Fuzzy Sets-Based Methods and Techniques for Modern Analytics [[electronic resource] /] / by Ali Ebrahimnejad, José Luis Verdegay |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
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ISBN |
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Edizione |
[1st ed. 2018.] |
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Descrizione fisica |
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1 online resource (XIII, 361 p. 20 illus., 9 illus. in color.) |
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Collana |
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Studies in Fuzziness and Soft Computing, , 1434-9922 ; ; 364 |
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Disciplina |
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Soggetti |
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Computational intelligence |
Operations research |
Decision making |
Artificial intelligence |
Management science |
Computational Intelligence |
Operations Research/Decision Theory |
Artificial Intelligence |
Operations Research, Management Science |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Fuzzy Set Theory -- Fuzzy Linear Programming -- Linear Programming with Fuzzy Parameters: Simplex Based Approaches -- Linear Programming with Fuzzy Parameters: Non-Simplex Based Approaches -- Fuzzy Transportation Problem. |
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Sommario/riassunto |
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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- |
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