國立虎尾科技大學 |

Large Group Decision Making = Creating Decision Support Approaches at Scale /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Large Group Decision Making/ by Iván Palomares Carrascosa.
其他題名:	Creating Decision Support Approaches at Scale /
作者:	Palomares Carrascosa, Iván.
面頁冊數:	XIX, 118 p. 43 illus., 33 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Artificial intelligence. -
電子資源:	https://doi.org/10.1007/978-3-030-01027-0
ISBN:	9783030010270

Large Group Decision Making = Creating Decision Support Approaches at Scale /
Palomares Carrascosa, Iván.

Large Group Decision MakingCreating Decision Support Approaches at Scale /[electronic resource] :by Iván Palomares Carrascosa. - 1st ed. 2018. - XIX, 118 p. 43 illus., 33 illus. in color.online resource. - SpringerBriefs in Computer Science,2191-5768. - SpringerBriefs in Computer Science,.

1 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.

This 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.

ISBN: 9783030010270

Standard No.: 10.1007/978-3-030-01027-0doiSubjects--Topical Terms:

559380
Artificial intelligence.

LC Class. No.: Q334-342

Dewey Class. No.: 006.3

Large Group Decision Making = Creating Decision Support Approaches at Scale /
LDR:02455nam a22003975i 4500 001 988092
003 DE-He213
005 20200703115322.0
007 cr nn 008mamaa
008 201225s2018 gw | s |||| 0|eng d
020 $a 9783030010270 $9 978-3-030-01027-0
024 7 $a 10.1007/978-3-030-01027-0 $2 doi
035 $a 978-3-030-01027-0
050 4 $a Q334-342
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
100 1 $a Palomares Carrascosa, Iván. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1280420
245 1 0 $a Large Group Decision Making $h [electronic resource] : $b Creating Decision Support Approaches at Scale / $c by Iván Palomares Carrascosa.
250 $a 1st ed. 2018.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a XIX, 118 p. 43 illus., 33 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a SpringerBriefs in Computer Science, $x 2191-5768
505 0 $a 1 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 $a This 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.
650 0 $a Artificial intelligence. $3 559380
650 0 $a Management information systems. $3 561123
650 0 $a Computer science. $3 573171
650 0 $a Big data. $3 981821
650 1 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Management of Computing and Information Systems. $3 593928
650 2 4 $a Big Data. $3 1017136
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030010263
776 0 8 $i Printed edition: $z 9783030010287
830 0 $a SpringerBriefs in Computer Science, $x 2191-5768 $3 1255334
856 4 0 $u https://doi.org/10.1007/978-3-030-01027-0
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)