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Uncertainty Management with Fuzzy and Rough Sets [[electronic resource] ] : Recent Advances and Applications / / edited by Rafael Bello, Rafael Falcon, José Luis Verdegay



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Titolo: Uncertainty Management with Fuzzy and Rough Sets [[electronic resource] ] : Recent Advances and Applications / / edited by Rafael Bello, Rafael Falcon, José Luis Verdegay Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Edizione: 1st ed. 2019.
Descrizione fisica: 1 online resource (XXIX, 413 p. 154 illus., 80 illus. in color.)
Disciplina: 006.3
Soggetto topico: Computational intelligence
Operations research
Decision making
Computer simulation
Control engineering
Computational Intelligence
Operations Research/Decision Theory
Simulation and Modeling
Control and Systems Theory
Persona (resp. second.): BelloRafael
FalconRafael
VerdegayJosé Luis
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: A proposal of hybrid fuzzy clustering algorithm with application in fault diagnosis -- Solving a Fuzzy Tourist Trip Design Problem with Clustered Points of Interest -- Fully Fuzzy Linear Programming Model For the Berth Allocation Problem with Two Quays -- Ideal reference method with linguistic labels: a comparison with LTOPSIS -- Fuzzy cognitive maps for evaluating software usability -- Ideal reference method with linguistic labels: a comparison with LTOPSIS -- A proposal of hybrid fuzzy clustering algorithm with application in fault diagnosis.
Sommario/riassunto: This book offers a timely overview of fuzzy and rough set theories and methods. Based on selected contributions presented at the International Symposium on Fuzzy and Rough Sets, ISFUROS 2017, held in Varadero, Cuba, on October 24-26, 2017, the book also covers related approaches, such as hybrid rough-fuzzy sets and hybrid fuzzy-rough sets and granular computing, as well as a number of applications, from big data analytics, to business intelligence, security, robotics, logistics, wireless sensor networks and many more. It is intended as a source of inspiration for PhD students and researchers in the field, fostering not only new ideas but also collaboration between young researchers and institutions and established ones.
Titolo autorizzato: Uncertainty Management with Fuzzy and Rough Sets  Visualizza cluster
ISBN: 3-030-10463-X
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910484893903321
Lo trovi qui: Univ. Federico II
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Serie: Studies in Fuzziness and Soft Computing, . 1434-9922 ; ; 377