LEADER 03678nam  22006735  450 
001 9910299489203321
005 20251113180600.0
010   $a9783319047119
010   $a3319047116
024 7 $a10.1007/978-3-319-04711-9
035   $a(CKB)3710000000085800
035   $a(DE-He213)978-3-319-04711-9
035   $a(SSID)ssj0001186890
035   $a(PQKBManifestationID)11655199
035   $a(PQKBTitleCode)TC0001186890
035   $a(PQKBWorkID)11241650
035   $a(PQKB)11098486
035   $a(MiAaPQ)EBC3101246
035   $a(PPN)176109447
035   $a(EXLCZ)993710000000085800
100   $a20140130d2014      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aHesitant Fuzzy Sets Theory /$fby Zeshui Xu
205   $a1st ed. 2014.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014.
215   $a1 online resource (X, 466 p. 34 illus., 13 illus. in color.) 
225 1 $aStudies in Fuzziness and Soft Computing,$x1860-0808 ;$v314
300   $aBibliographic Level Mode of Issuance: Monograph
311 08$a9783319047102 
311 08$a3319047108 
320   $aIncludes bibliographical references.
327   $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.
330   $aThis book provides the readers with a thorough and systematic introduction to hesitant fuzzy theory. It presents the most recent research results and advanced methods in the field. These includes: hesitant fuzzy aggregation techniques, hesitant fuzzy preference relations, hesitant fuzzy measures, hesitant fuzzy clustering algorithms and hesitant fuzzy multi-attribute decision making methods. Since its introduction by Torra and Narukawa in 2009, hesitant fuzzy sets have become more and more popular and have been used for a wide range of applications, from decision-making problems to cluster analysis, from medical diagnosis to personnel appraisal and information retrieval. This book offers a comprehensive report on the state-of-the-art in hesitant fuzzy sets theory and applications, aiming at becoming a reference guide for both researchers and practitioners in the area of fuzzy mathematics and other applied research fields (e.g. operations research, information science, management science and engineering) characterized by uncertain ("hesitant") information. Because of its clarity and self contained explanations, the book can also be adopted as a textbook from graduate and advanced undergraduate students.
410  0$aStudies in Fuzziness and Soft Computing,$x1860-0808 ;$v314
606   $aComputational intelligence
606   $aOperations research
606   $aManagement science
606   $aComputational Intelligence
606   $aOperations Research, Management Science
606   $aOperations Research and Decision Theory
615  0$aComputational intelligence.
615  0$aOperations research.
615  0$aManagement science.
615 14$aComputational Intelligence.
615 24$aOperations Research, Management Science.
615 24$aOperations Research and Decision Theory.
676   $a511.322
700   $aXu$b Zeshui$4aut$4http://id.loc.gov/vocabulary/relators/aut$0871861
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910299489203321
996   $aHesitant Fuzzy Sets Theory$91946420
997   $aUNINA