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020 _a9783319602073
_9978-3-319-60207-3
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_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
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082 0 4 _a006.3
_223
245 1 0 _aSoft Computing Applications for Group Decision-making and Consensus Modeling
_h[electronic resource] /
_cedited by Mikael Collan, Janusz Kacprzyk.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXXV, 488 p. 66 illus., 10 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,
_x1434-9922 ;
_v357
500 _aAcceso multiusuario
505 0 _aOptimal Group Decision Making Can Help Decrease Poverty, Inequality, and Discrimination -- An Overview and Re-Interpretation of Paradoxes of Responsiveness -- Veto in Yes-no and Yes-no-abstain Voting Systems -- Power Indices for Finance -- The binomial decomposition of the single parameter family of GB welfare functions -- The logic of information and processes in the system-of-systems applications -- Decision-making Process using Hyperstructures and Fuzzy Structures in the Social Sciences -- Social Preferences through Riesz Spaces: A First Approach -- Coherent conditional plausibility: a tool for handling fuzziness and uncertainty under partial information -- Intuitionistic fuzzy interpretations of some formulas for estimation of preference degree -- Fuzzified Likert Scales in Group Multiple-criteria Evaluation -- Maximal Entropy and Minimal Variability OWA Operator Weights: A Short Survey of Recent Developments.
520 _aThis book offers a concise introduction and comprehensive overview of the state of the art in the field of decision-making and consensus modeling, with a special emphasis on fuzzy methods. It consists of a collection of authoritative contributions reporting on the decision-making process from different perspectives: from psychology to social and political sciences, from decision sciences to data mining, and from computational sciences in general, to artificial and computational intelligence and systems. Written as a homage to Mario Fedrizzi for his scholarly achievements, creative ideas and long lasting services to different scientific communities, it introduces key theoretical concepts, describes new models and methods, and discusses a range of promising real-world applications in the field of decision-making science. It is a timely reference guide and a source of inspiration for advanced students and researchers.
541 _fUABC ;
_cTemporal ;
_d01/01/2021-12/31/2023.
650 0 _aComputational intelligence.
650 0 _aOperations research.
650 0 _aDecision making.
650 0 _aArtificial intelligence.
650 1 4 _aComputational Intelligence.
_0https://scigraph.springernature.com/ontologies/product-market-codes/T11014
650 2 4 _aOperations Research/Decision Theory.
_0https://scigraph.springernature.com/ontologies/product-market-codes/521000
650 2 4 _aArtificial Intelligence.
_0https://scigraph.springernature.com/ontologies/product-market-codes/I21000
700 1 _aCollan, Mikael.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aKacprzyk, Janusz.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319602066
776 0 8 _iPrinted edition:
_z9783319602080
776 0 8 _iPrinted edition:
_z9783319868059
830 0 _aStudies in Fuzziness and Soft Computing,
_x1434-9922 ;
_v357
856 4 0 _zLibro electrónico
_uhttp://148.231.10.114:2048/login?url=https://doi.org/10.1007/978-3-319-60207-3
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cLIBRO_ELEC
999 _c241526
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