Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/54397
Title: On fuzzy theory for econometrics
Authors: Hung T. Nguyen
Songsak Sriboonchitta
Authors: Hung T. Nguyen
Songsak Sriboonchitta
Keywords: Computer Science;Mathematics
Issue Date: 1-Jan-2015
Abstract: © Springer International Publishing Switzerland 2015.  This paper aims mainly at informing statisticians and econometricians of relevant concepts and methods in fuzzy theory that are useful in addressing economic problems. We emphasize three recent significant contributions of fuzzy theory to economics, namely fuzzy games for capital risk allocations, fuzzy rule bases and compositional rule of inference for causal inference, and a statistical setting for fuzzy data based on continuous lattices.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84930208277&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/54397
ISSN: 14349922
Appears in Collections:CMUL: Journal Articles

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