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dc.contributor.authorHung T. Nguyenen_US
dc.date.accessioned2018-09-04T06:03:50Z-
dc.date.available2018-09-04T06:03:50Z-
dc.date.issued2012-05-18en_US
dc.identifier.issn18675662en_US
dc.identifier.other2-s2.0-84861010994en_US
dc.identifier.other10.1007/978-3-642-29461-7_1en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84861010994&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/51532-
dc.description.abstractWe look back at how axiomatic belief functions were viewed as distributions of random sets, and address the problem of joint belief functions in terms of copulas. We outline the axiomatic development of belief functions in the setting of incidence algebras, and some aspects of decision-making with belief functions. © 2012 Springer-Verlag.en_US
dc.subjectComputer Scienceen_US
dc.titleOn belief functions and random setsen_US
dc.typeBook Seriesen_US
article.title.sourcetitleAdvances in Intelligent and Soft Computingen_US
article.volume164 AISCen_US
article.stream.affiliationsNew Mexico State University Las Crucesen_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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