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dc.contributor.authorHung T. Nguyenen_US
dc.contributor.authorSongsak Sriboonchittaen_US
dc.description.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.en_US
dc.subjectComputer Scienceen_US
dc.titleOn fuzzy theory for econometricsen_US
dc.typeBook Seriesen_US
article.title.sourcetitleStudies in Fuzziness and Soft Computingen_US
article.volume326en_US Mexiso State Universityen_US Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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