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dc.contributor.authorHung T. Nguyenen_US
dc.date.accessioned2018-09-04T10:12:52Z-
dc.date.available2018-09-04T10:12:52Z-
dc.date.issued2015-01-01en_US
dc.identifier.issn03029743en_US
dc.identifier.other2-s2.0-84951090368en_US
dc.identifier.other10.1007/978-3-319-25135-6-1en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84951090368&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/54398-
dc.description.abstract© Springer International Publishing Switzerland 2015. This paper is about the state-of-the-art of epistemic uncertainty modeling from subjective probability (Thomas Bayes) to fuzzy measures (Michio Sugeno).en_US
dc.subjectComputer Scienceen_US
dc.subjectMathematicsen_US
dc.titleEpistemic uncertainty modeling: The-state-of-the-arten_US
dc.typeConference Proceedingen_US
article.title.sourcetitleLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)en_US
article.volume9376en_US
article.stream.affiliationsNew Mexico State University Las Crucesen_US
article.stream.affiliationsChiang Mai Universityen_US
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