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008 161008s2017 sz | s |||| 0|eng d
020 _a9783319420011
_9978-3-319-42001-1
024 7 _a10.1007/978-3-319-42001-1
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
100 1 _aZhang, Xiaolu.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_957317
245 1 0 _aHesitant Fuzzy Methods for Multiple Criteria Decision Analysis
_h[electronic resource] /
_cby Xiaolu Zhang, Zeshui Xu.
250 _a1st ed. 2017.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2017.
300 _aXV, 191 p. 6 illus., 3 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Fuzziness and Soft Computing,
_x1860-0808 ;
_v345
505 0 _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.
520 _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. .
650 0 _aComputational intelligence.
_97716
650 0 _aOperations research.
_912218
650 0 _aManagement science.
_98316
650 0 _aArtificial intelligence.
_93407
650 1 4 _aComputational Intelligence.
_97716
650 2 4 _aOperations Research, Management Science .
_931720
650 2 4 _aOperations Research and Decision Theory.
_931599
650 2 4 _aArtificial Intelligence.
_93407
700 1 _aXu, Zeshui.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_957318
710 2 _aSpringerLink (Online service)
_957319
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319420004
776 0 8 _iPrinted edition:
_z9783319420028
776 0 8 _iPrinted edition:
_z9783319824765
830 0 _aStudies in Fuzziness and Soft Computing,
_x1860-0808 ;
_v345
_957320
856 4 0 _uhttps://doi.org/10.1007/978-3-319-42001-1
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c79918
_d79918