Uncertainty Management with Fuzzy and Rough Sets: Recent Advances and Applications: Studies in Fuzziness and Soft Computing, cartea 377
Editat de Rafael Bello, Rafael Falcon, José Luis Verdegayen Limba Engleză Hardback – 31 ian 2019
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Specificații
ISBN-13: 9783030104627
ISBN-10: 3030104621
Pagini: 480
Ilustrații: XXIX, 413 p. 154 illus., 80 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.79 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Fuzziness and Soft Computing
Locul publicării:Cham, Switzerland
ISBN-10: 3030104621
Pagini: 480
Ilustrații: XXIX, 413 p. 154 illus., 80 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.79 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Fuzziness and Soft Computing
Locul publicării:Cham, Switzerland
Cuprins
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.
Textul de pe ultima copertă
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.
Caracteristici
Presents a number of fuzzy-logic based methods for managing uncertainty in different areas of science Describes cutting-edge approaches and their applications to key problems in operations research Includes extended, selected contributions presented at ISFUROS2017