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010 _a 2019762390
020 _a9783030104627 (hbk.)
024 7 _a10.1007/978-3-030-10463-4
_2doi
035 _a(DE-He213)978-3-030-10463-4
040 _aDLC
_beng
_epn
_erda
_cJKRC
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
_2bicssc
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
_bBEL.R
245 0 0 _aUncertainty management with Fuzzy and Rough sets :
_bRecent Advances and Applications /
_ced by Rafael Bello, Rafael Falcon, Jose Luis Verdegay.
_hEnglish.
250 _a1st ed.
260 _aSwitzerland :
_bSpringer Nature,
_c2019.
300 _aXXIX, 413 p.
_b154 illustrations, illustrations in color. 80
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Fuzziness and Soft Computing,
_x1434-9922 ;
_v377
505 0 _aA 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.
520 _aThis 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.
588 _aDescription based on publisher-supplied MARC data.
650 0 _aComputational intelligence.
650 0 _aComputer simulation.
_931775
650 0 _aControl engineering.
_932457
650 0 _aDecision making.
650 0 _aOperations research.
650 1 4 _aComputational Intelligence.
_0https://scigraph.springernature.com/ontologies/product-market-codes/T11014
650 2 4 _aControl and Systems Theory.
_0https://scigraph.springernature.com/ontologies/product-market-codes/T19010
_932458
650 2 4 _aOperations Research/Decision Theory.
_0https://scigraph.springernature.com/ontologies/product-market-codes/521000
_932459
650 2 4 _aSimulation and Modeling.
_0https://scigraph.springernature.com/ontologies/product-market-codes/I19000
_931781
700 1 _aBello, Rafael,
_eEditor.
_932460
700 1 _aFalcon, Rafael,
_eEditor.
_932461
700 1 _aVerdegay, Jose Luis,
_eEditor.
_932462
776 0 8 _iPrint version:
_tUncertainty management with fuzzy and rough sets.
_z9783030104627
_w(DLC) 2018964931
776 0 8 _iPrinted edition:
_z9783030104627
776 0 8 _iPrinted edition:
_z9783030104641
830 0 _aStudies in Fuzziness and Soft Computing,
_x1434-9922 ;
_v377
_932463
906 _a0
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