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001358345 0247_ $$a10.1007/978-981-10-3265-3$$2doi
001358345 035__ $$aSP(OCoLC)974649826$$z(OCoLC)967560672$$z(OCoLC)970384610$$z(OCoLC)980703898$$z(OCoLC)988786390$$z(OCoLC)1000427415$$z(OCoLC)1005838307$$z(OCoLC)1014378407$$z(OCoLC)1038461795$$z(OCoLC)1048171336$$z(OCoLC)1057440471$$z(OCoLC)1066424072$$z(OCoLC)1086988626
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001358345 049__ $$aISEA
001358345 050_4 $$aHD30.23
001358345 08204 $$a658.40301$$223
001358345 1001_ $$aLiao, Huchang,$$eauthor.
001358345 24510 $$aHesitant Fuzzy Decision Making Methodologies and Applications /$$cby Huchang Liao, Zeshui Xu.
001358345 264_1 $$aSingapore :$$bSpringer Singapore :$$bImprint :$$bSpringer,$$c2017.
001358345 300__ $$a1 online resource (XIII, 275 pages 19 illustrations, 8 illustrations in color.) :$$bonline resource
001358345 336__ $$atext$$btxt$$2rdacontent
001358345 337__ $$acomputer$$bc$$2rdamedia
001358345 338__ $$aonline resource$$bcr$$2rdacarrier
001358345 347__ $$atext file$$bPDF$$2rda
001358345 4901_ $$aUncertainty and Operations Research,$$x2195-996X
001358345 504__ $$aIncludes bibliographical references.
001358345 5050_ $$aPreface -- 1 Hesitant Fuzzy Set and Its Extensions -- 2 Novel Correlation and Entropy Measures for Hesitant Fuzzy Set -- 3 Multiple Criteria Decision Making with Hesitant Fuzzy Hybrid Weighted Aggregation Operators -- 4 Hesitant Fuzzy Multiple Criteria Decision Making with Complete Weight Information -- 5 Hesitant Fuzzy Multiple Criteria Decision Making with Incomplete Weights -- 6 Decision Making with Hesitant Fuzzy Preference Relation.
001358345 506__ $$aAccess limited to authorized users.
001358345 520__ $$aThis book offers a comprehensive and systematic introduction to the latest research on hesitant fuzzy decision-making theory. It includes six parts: the hesitant fuzzy set and its extensions, novel hesitant fuzzy measures, hesitant fuzzy hybrid weighted aggregation operators, hesitant fuzzy multiple-criteria decision-making with incomplete weights, hesitant fuzzy multiple criteria decision-making with complete weights information, and the hesitant fuzzy preference relation based decision-making theory. These methodologies are implemented in various fields such as decision-making, medical diagnosis, cluster analysis, service quality management, e-learning management and environmental management. A valuable resource for engineers, technicians, and researchers in the fields of fuzzy mathematics, operations research, information science, management science and engineering, it can also be used as a textbook for postgraduate and senior undergraduate students.
001358345 650_0 $$aBusiness.
001358345 650_0 $$aOperations research.
001358345 650_0 $$aDecision making.
001358345 650_0 $$aOperating systems (Computers)
001358345 650_0 $$aComputational intelligence.
001358345 655_0 $$aElectronic books
001358345 7001_ $$aXu, Zeshui,$$eauthor.
001358345 77608 $$iPrint version:$$z9789811032646
001358345 830_0 $$aUncertainty and operations research,$$x2195-996X
001358345 852__ $$bebk
001358345 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-10-3265-3$$zOnline Access$$91397441.1
001358345 909CO $$ooai:library.usi.edu:1358345$$pGLOBAL_SET
001358345 980__ $$aBIB
001358345 980__ $$aEBOOK
001358345 982__ $$aEbook
001358345 983__ $$aOnline
001358345 994__ $$a92$$bISE