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Uncertainty Management with Fuzzy and Rough Sets = Recent Advances and Applications /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Uncertainty Management with Fuzzy and Rough Sets/ edited by Rafael Bello, Rafael Falcon, José Luis Verdegay.
Reminder of title:	Recent Advances and Applications /
other author:	Bello, Rafael.
Description:	XXIX, 413 p. 154 illus., 80 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Control engineering. -
Online resource:	https://doi.org/10.1007/978-3-030-10463-4
ISBN:	9783030104634

Uncertainty Management with Fuzzy and Rough Sets = Recent Advances and Applications /
Uncertainty Management with Fuzzy and Rough SetsRecent Advances and Applications /[electronic resource] :edited by Rafael Bello, Rafael Falcon, José Luis Verdegay. - 1st ed. 2019. - XXIX, 413 p. 154 illus., 80 illus. in color.online resource. - Studies in Fuzziness and Soft Computing,3771434-9922 ;. - Studies in Fuzziness and Soft Computing,319.

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.

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.

ISBN: 9783030104634

Standard No.: 10.1007/978-3-030-10463-4doiSubjects--Topical Terms:

1249728
Control engineering.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Uncertainty Management with Fuzzy and Rough Sets = Recent Advances and Applications /
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