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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Rujira Ouncharoen | en_US |
| dc.contributor.author | Vladik Kreinovich | en_US |
| dc.contributor.author | Hung T. Nguyen | en_US |
| dc.date.accessioned | 2018-09-04T10:13:16Z | - |
| dc.date.available | 2018-09-04T10:13:16Z | - |
| dc.date.issued | 2015-01-01 | en_US |
| dc.identifier.issn | 18758967 | en_US |
| dc.identifier.issn | 10641246 | en_US |
| dc.identifier.other | 2-s2.0-84946849669 | en_US |
| dc.identifier.other | 10.3233/IFS-151558 | en_US |
| dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84946849669&origin=inward | en_US |
| dc.identifier.uri | http://cmuir.cmu.ac.th/jspui/handle/6653943832/54424 | - |
| dc.description.abstract | © 2015-IOS Press and the authors. To take into account that expert's degrees of certainty are not always comparable, researchers have used partially ordered set of degrees instead of the more traditional linearly (totally) ordered interval [0, 1]. In most cases, it is assumed that this partially ordered set is a lattice, i.e., every two elements have the greatest lower bound and the least upper bound. In this paper, we prove a theorem explaining why it is reasonable to require that the set of degrees is a lattice. | en_US |
| dc.subject | Computer Science | en_US |
| dc.subject | Engineering | en_US |
| dc.subject | Mathematics | en_US |
| dc.title | Why Lattice-valued fuzzy values? A mathematical justification | en_US |
| dc.type | Journal | en_US |
| article.title.sourcetitle | Journal of Intelligent and Fuzzy Systems | en_US |
| article.volume | 29 | en_US |
| article.stream.affiliations | Chiang Mai University | en_US |
| article.stream.affiliations | University of Texas at El Paso | en_US |
| article.stream.affiliations | New Mexico State University Las Cruces | en_US |
| Appears in Collections: | CMUL: Journal Articles | |
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