000 03586nam a22005655i 4500
001 978-3-319-77715-3
003 DE-He213
005 20220801220951.0
007 cr nn 008mamaa
008 180316s2018 sz | s |||| 0|eng d
020 _a9783319777153
_9978-3-319-77715-3
024 7 _a10.1007/978-3-319-77715-3
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
100 1 _aKrejčí, Jana.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_953399
245 1 0 _aPairwise Comparison Matrices and their Fuzzy Extension
_h[electronic resource] :
_bMulti-criteria Decision Making with a New Fuzzy Approach /
_cby Jana Krejčí.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXVIII, 273 p.
_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 ;
_v366
505 0 _aIntroduction -- Pairwise Comparison Matrices -- Fuzzy Set Theory -- Fuzzy Pairwise Comparison Matrices -- Incomplete Large-dimensional Pairwise Comparison Matrices -- Discussion and Future Research. .
520 _aThis book offers the first comprehensive and critical literature review of fuzzy pairwise comparison methods derived from methods originally developed for crisp pairwise comparison matrices. It proposes new fuzzy extensions of these methods and provides a detailed study of the differences and analogies between all the reviewed methods, as well as a detailed description of their drawbacks, with the help of many numerical examples. In order to prevent the drawbacks related to the reviewed fuzzy pairwise comparison methods, the book introduces constrained fuzzy arithmetic in fuzzy extension of the pairwise comparison methods. It proposes new fuzzy pairwise comparison methods based on constrained fuzzy arithmetic and critically compares them with the reviewed methods. It describes the application of the newly developed methods to incomplete large-dimensional pairwise comparison matrices showcased in a real-life case study. Written for researchers, graduate and PhD students interested in multi-criteria decision making methods based on both crisp and fuzzy pairwise comparison matrices, this self-contained book offers an overview of cutting-edge research and all necessary information to understand the described tools and use them in real-world applications.
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 _aArtificial Intelligence.
_93407
650 2 4 _aOperations Research and Decision Theory.
_931599
710 2 _aSpringerLink (Online service)
_953400
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319777146
776 0 8 _iPrinted edition:
_z9783319777160
776 0 8 _iPrinted edition:
_z9783030085193
830 0 _aStudies in Fuzziness and Soft Computing,
_x1860-0808 ;
_v366
_953401
856 4 0 _uhttps://doi.org/10.1007/978-3-319-77715-3
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c79142
_d79142