Please use this identifier to cite or link to this item:
http://cmuir.cmu.ac.th/jspui/handle/6653943832/54397Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Hung T. Nguyen | en_US |
| dc.contributor.author | Songsak Sriboonchitta | en_US |
| dc.date.accessioned | 2018-09-04T10:12:52Z | - |
| dc.date.available | 2018-09-04T10:12:52Z | - |
| dc.date.issued | 2015-01-01 | en_US |
| dc.identifier.issn | 14349922 | en_US |
| dc.identifier.other | 2-s2.0-84930208277 | en_US |
| dc.identifier.other | 10.1007/978-3-319-19683-1_21 | en_US |
| dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84930208277&origin=inward | en_US |
| dc.identifier.uri | http://cmuir.cmu.ac.th/jspui/handle/6653943832/54397 | - |
| 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.subject | Computer Science | en_US |
| dc.subject | Mathematics | en_US |
| dc.title | On fuzzy theory for econometrics | en_US |
| dc.type | Book Series | en_US |
| article.title.sourcetitle | Studies in Fuzziness and Soft Computing | en_US |
| article.volume | 326 | en_US |
| article.stream.affiliations | New Mexiso State University | en_US |
| article.stream.affiliations | Chiang Mai University | en_US |
| 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.