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

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Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: Studies in Fuzziness and Soft Computing ; 377 | SpringerLink BücherVerlag: Cham : Springer International Publishing, 2019Beschreibung: Online-Ressource (XXIX, 413 p. 154 illus., 80 illus. in color, online resource)ISBN:

9783030104634

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Genre/Form:

Konferenzschrift

Andere physische Formen: 9783030104627 | 9783030104641 | Erscheint auch als: 978-3-030-10462-7 Druck-Ausgabe | Printed edition: 9783030104627 | Printed edition: 9783030104641 | Erscheint auch als: Uncertainty management with fuzzy and rough sets. Druck-Ausgabe Cham : Springer, 2019. xxix, 413 SeitenDDC-Klassifikation:

006.3

LOC-Klassifikation:

Q342

DOI: DOI: 10.1007/978-3-030-10463-4Online-Ressourcen:

Zusammenfassung: 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 onesZusammenfassung: 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 diagnosisPPN: PPN: 1048367924Package identifier: Produktsigel: ZDB-2-INR | ZDB-2-SEB | ZDB-2-SXIT

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