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 |