000 03384nam a22005655i 4500
001 978-3-030-01027-0
003 DE-He213
005 20210201191313.0
007 cr nn 008mamaa
008 181031s2018 gw | s |||| 0|eng d
020 _a9783030010270
_9978-3-030-01027-0
050 4 _aQ334-342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
100 1 _aPalomares Carrascosa, Iván.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aLarge Group Decision Making
_h[electronic resource] :
_bCreating Decision Support Approaches at Scale /
_cby Iván Palomares Carrascosa.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXIX, 118 p. 43 illus., 33 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 _aSpringerBriefs in Computer Science,
_x2191-5768
500 _aAcceso multiusuario
505 0 _a1 Introduction -- 2 Group Decision Making and Consensual Processes -- 3 Scaling things up: Large Group Decision Making (LGDM) -- 4 LGDM Approaches and Models: a Literature Review -- 5 Implementations and Real-World Applications of LGDM Research -- 6 Conclusions and Future Directions of Research.
520 _aThis SpringerBrief provides a pioneering, central point of reference for the interested reader in Large Group Decision Making trends such as consensus support, fusion and weighting of relevant decision information, subgroup clustering, behavior management, and implementation of decision support systems, among others. Based on the challenges and difficulties found in classical approaches to handle large decision groups, the principles, families of techniques, and newly related disciplines to Large-Group Decision Making (such as Data Science, Artificial Intelligence, Social Network Analysis, Opinion Dynamics, Behavioral and Cognitive Sciences), are discussed. Real-world applications and future directions of research on this novel topic are likewise highlighted.
541 _fUABC ;
_cTemporal ;
_d01/01/2021-12/31/2023.
650 0 _aArtificial intelligence.
650 0 _aManagement information systems.
650 0 _aComputer science.
650 0 _aBig data.
650 1 4 _aArtificial Intelligence.
_0https://scigraph.springernature.com/ontologies/product-market-codes/I21000
650 2 4 _aManagement of Computing and Information Systems.
_0https://scigraph.springernature.com/ontologies/product-market-codes/I24067
650 2 4 _aBig Data.
_0https://scigraph.springernature.com/ontologies/product-market-codes/I29120
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030010263
776 0 8 _iPrinted edition:
_z9783030010287
830 0 _aSpringerBriefs in Computer Science,
_x2191-5768
856 4 0 _zLibro electrónico
_uhttp://148.231.10.114:2048/login?url=https://doi.org/10.1007/978-3-030-01027-0
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cLIBRO_ELEC
999 _c241918
_d241917