LEADER 03996nam 22006855 450 001 9910484893903321 005 20200704090655.0 010 $a3-030-10463-X 024 7 $a10.1007/978-3-030-10463-4 035 $a(CKB)4100000007522631 035 $a(DE-He213)978-3-030-10463-4 035 $a(MiAaPQ)EBC5924093 035 $a(PPN)243768702 035 $a(EXLCZ)994100000007522631 100 $a20190122d2019 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aUncertainty Management with Fuzzy and Rough Sets $eRecent Advances and Applications /$fedited by Rafael Bello, Rafael Falcon, José Luis Verdegay 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (XXIX, 413 p. 154 illus., 80 illus. in color.) 225 1 $aStudies in Fuzziness and Soft Computing,$x1434-9922 ;$v377 311 $a3-030-10462-1 320 $aIncludes bibliographical references and index. 327 $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. 330 $aThis book offers a timely overview of fuzzy and rough set theories and methods. Based on selected contributions presented at the International Symposium on Fuzzy and Rough Sets, ISFUROS 2017, held in Varadero, Cuba, on October 24-26, 2017, the book also covers related approaches, such as hybrid rough-fuzzy sets and hybrid fuzzy-rough sets and granular computing, as well as a number of applications, from big data analytics, to business intelligence, security, robotics, logistics, wireless sensor networks and many more. It is intended as a source of inspiration for PhD students and researchers in the field, fostering not only new ideas but also collaboration between young researchers and institutions and established ones. 410 0$aStudies in Fuzziness and Soft Computing,$x1434-9922 ;$v377 606 $aComputational intelligence 606 $aOperations research 606 $aDecision making 606 $aComputer simulation 606 $aControl engineering 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aOperations Research/Decision Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/521000 606 $aSimulation and Modeling$3https://scigraph.springernature.com/ontologies/product-market-codes/I19000 606 $aControl and Systems Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/T19010 615 0$aComputational intelligence. 615 0$aOperations research. 615 0$aDecision making. 615 0$aComputer simulation. 615 0$aControl engineering. 615 14$aComputational Intelligence. 615 24$aOperations Research/Decision Theory. 615 24$aSimulation and Modeling. 615 24$aControl and Systems Theory. 676 $a006.3 676 $a006.3 702 $aBello$b Rafael$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aFalcon$b Rafael$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aVerdegay$b José Luis$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484893903321 996 $aUncertainty Management with Fuzzy and Rough Sets$92844882 997 $aUNINA