LEADER 03799nam 22006615 450 001 9910254171903321 005 20251107172902.0 010 $a3-319-42001-1 024 7 $a10.1007/978-3-319-42001-1 035 $a(CKB)3710000000909086 035 $a(DE-He213)978-3-319-42001-1 035 $a(MiAaPQ)EBC6284214 035 $a(MiAaPQ)EBC5595279 035 $a(Au-PeEL)EBL5595279 035 $a(OCoLC)960642952 035 $a(PPN)196320070 035 $a(EXLCZ)993710000000909086 100 $a20161008d2017 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aHesitant Fuzzy Methods for Multiple Criteria Decision Analysis /$fby Xiaolu Zhang, Zeshui Xu 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (XV, 191 p. 6 illus., 3 illus. in color.) 225 1 $aStudies in Fuzziness and Soft Computing,$x1860-0808 ;$v345 311 08$a3-319-42000-3 327 $aHesitant Fuzzy Multiple Criteria Decision Analysis Based on TOPSIS -- Hesitant Fuzzy Multiple Criteria Decision Analysis Based on TODIM -- Hesitant Fuzzy Multiple Criteria Decision Analysis Based on QUALIFLEX -- Hesitant Fuzzy Multiple Criteria Decision Analysis Based on LINMAP -- Consensus Model-Based Hesitant Fuzzy Multiple Criteria Group Decision Analysis. 330 $aThe book offers a comprehensive introduction to methods for solving multiple criteria decision making and group decision making problems with hesitant fuzzy information. It reports on the authors? latest research, as well as on others? research, providing readers with a complete set of decision making tools, such as hesitant fuzzy TOPSIS, hesitant fuzzy TODIM, hesitant fuzzy LINMAP, hesitant fuzzy QUALIFEX, and the deviation modeling approach with heterogeneous fuzzy information. The main focus is on decision making problems in which the criteria values and/or the weights of criteria are not expressed in crisp numbers but are more suitable to be denoted as hesitant fuzzy elements. The largest part of the book is devoted to new methods recently developed by the authors to solve decision making problems in situations where the available information is vague or hesitant. These methods are presented in detail, together with their application to different type of decision-making problems. All in all, the book represents a valuable reference guide for graduate students and researchers in the both fields of fuzzy logic and decision making. . 410 0$aStudies in Fuzziness and Soft Computing,$x1860-0808 ;$v345 606 $aComputational intelligence 606 $aOperations research 606 $aManagement science 606 $aArtificial intelligence 606 $aComputational Intelligence 606 $aOperations Research, Management Science 606 $aOperations Research and Decision Theory 606 $aArtificial Intelligence 615 0$aComputational intelligence. 615 0$aOperations research. 615 0$aManagement science. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aOperations Research, Management Science. 615 24$aOperations Research and Decision Theory. 615 24$aArtificial Intelligence. 676 $a003.56 700 $aZhang$b Xiaolu$4aut$4http://id.loc.gov/vocabulary/relators/aut$0929114 702 $aXu$b Zeshui$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254171903321 996 $aHesitant Fuzzy Methods for Multiple Criteria Decision Analysis$92278490 997 $aUNINA