Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/54403
Title: Epistemic uncertainty modeling: The-state-of-the-art
Authors: Hung T. Nguyen
Authors: Hung T. Nguyen
Keywords: Computer Science;Mathematics
Issue Date: 1-Jan-2015
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).
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84951835886&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/54403
ISSN: 16113349
03029743
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.