000696708 000__ 03060cam\a2200445Ki\4500 000696708 001__ 696708 000696708 005__ 20230306135613.0 000696708 006__ m\\\\\o\\d\\\\\\\\ 000696708 007__ cr\cnu|||unuuu 000696708 008__ 140213s2014\\\\gw\a\\\\ob\\\\000\0\eng\d 000696708 0167_ $$a016636202$$2Uk 000696708 020__ $$a9783319047119 $$qelectronic book 000696708 020__ $$a3319047116 $$qelectronic book 000696708 020__ $$z9783319047102 000696708 0247_ $$a10.1007/978-3-319-04711-9$$2doi 000696708 035__ $$aSP(OCoLC)ocn870427355 000696708 035__ $$aSP(OCoLC)870427355 000696708 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDXCP$$dCOO$$dUKMGB 000696708 049__ $$aISEA 000696708 050_4 $$aQA248.5 000696708 08204 $$a511.3/223$$223 000696708 1001_ $$aXu, Zeshui,$$eauthor. 000696708 24510 $$aHesitant fuzzy sets theory$$h[electronic resource] /$$cZeshui Xu. 000696708 264_1 $$aCham :$$bSpringer,$$c2014. 000696708 300__ $$a1 online resource (x, 466 pages) :$$billustrations (some color). 000696708 336__ $$atext$$btxt$$2rdacontent 000696708 337__ $$acomputer$$bc$$2rdamedia 000696708 338__ $$aonline resource$$bcr$$2rdacarrier 000696708 4901_ $$aStudies in Fuzziness and Soft Computing,$$x1434-9922 ;$$vvolume 314 000696708 504__ $$aIncludes bibliographical references. 000696708 5050_ $$aHesitant Fuzzy Aggregation Operators and Their Applications -- Distance, Similarity, Correlation, Entropy Measures and Clustering -- Algorithms for Hesitant Fuzzy Information -- Hesitant Preference Relations -- Hesitant Fuzzy MADM Models. 000696708 506__ $$aAccess limited to authorized users. 000696708 520__ $$aThis book provides the readers with a thorough and systematic introduction to hesitant fuzzy theory. It presents the most recent research results and advanced methods in the field. These includes: hesitant fuzzy aggregation techniques, hesitant fuzzy preference relations, hesitant fuzzy measures, hesitant fuzzy clustering algorithms and hesitant fuzzy multi-attribute decision making methods. Since its introduction by Torra and Narukawa in 2009, hesitant fuzzy sets have become more and more popular and have been used for a wide range of applications, from decision-making problems to cluster analysis, from medical diagnosis to personnel appraisal and information retrieval. This book offers a comprehensive report on the state-of-the-art in hesitant fuzzy sets theory and applications, aiming at becoming a reference guide for both researchers and practitioners in the area of fuzzy mathematics and other applied research fields (e.g. operations research, information science, management science and engineering) characterized by uncertain ("hesitant") information. Because of its clarity and self contained explanations, the book can also be adopted as a textbook from graduate and advanced undergraduate students. 000696708 588__ $$aDescription based on online resource; title from PDF title page (SpringerLink, viewed February 3, 2014). 000696708 650_0 $$aFuzzy sets. 000696708 830_0 $$aStudies in fuzziness and soft computing ;$$vv.314.$$x1434-9922 000696708 85280 $$bebk$$hSpringerLink 000696708 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://dx.doi.org/10.1007/978-3-319-04711-9$$zOnline Access 000696708 909CO $$ooai:library.usi.edu:696708$$pGLOBAL_SET 000696708 980__ $$aEBOOK 000696708 980__ $$aBIB 000696708 982__ $$aEbook 000696708 983__ $$aOnline 000696708 994__ $$a92$$bISE