Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/58580
Full metadata record
DC FieldValueLanguage
dc.contributor.authorVladik Kreinovichen_US
dc.contributor.authorThongchai Dumrongpokaphanen_US
dc.date.accessioned2018-09-05T04:26:27Z-
dc.date.available2018-09-05T04:26:27Z-
dc.date.issued2018-01-01en_US
dc.identifier.issn14349922en_US
dc.identifier.other2-s2.0-85021686908en_US
dc.identifier.other10.1007/978-3-319-60207-3_1en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85021686908&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/58580-
dc.description.abstract© 2018, Springer International Publishing AG. Traditional approach to group decision making in economics is to maximize the GDP, i.e., the overall gain. The hope behind this approach is that the increased wealth will trickle down to everyone. Sometimes, this happens, but often, in spite of an increase in overall GDP, inequality remains: some people remain poor, some groups continue to face economic discrimination, etc. This shows that maximizing the overall gain is probably not always the best criterion in group decision making. In this chapter, we find a group decision making criterion which is optimal (in some reasonable sense), and we show that using this optimal criterion can indeed help to decrease poverty, inequality, and discrimination.en_US
dc.subjectComputer Scienceen_US
dc.subjectMathematicsen_US
dc.titleOptimal group decision making criterion and how it can help to decrease poverty, inequality, and discriminationen_US
dc.typeBook Seriesen_US
article.title.sourcetitleStudies in Fuzziness and Soft Computingen_US
article.volume357en_US
article.stream.affiliationsUniversity of Texas at El Pasoen_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

Files in This Item:
There are no files associated with this item.


Items in CMUIR are protected by copyright, with all rights reserved, unless otherwise indicated.