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Hybrid Fuzzy Regression Analysis Using the F-Transform
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Jung, Hye-Young | - |
| dc.contributor.author | Lee, Woo-Joo | - |
| dc.contributor.author | Choi, Seung Hoe | - |
| dc.date.accessioned | 2021-06-22T05:59:31Z | - |
| dc.date.available | 2021-06-22T05:59:31Z | - |
| dc.date.created | 2021-01-21 | - |
| dc.date.issued | 2020-10 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/855 | - |
| dc.description.abstract | This paper proposes a hybrid estimation algorithm for independently estimating the response function for the center and the response function for the spread in fuzzy regression model. The proposed algorithm combines the least absolute deviations estimation with discriminant analysis. In addition, the F-transform is used to convert spreads of the dependent variable into several groups. Two examples show that our method is superior to the existing methods based on the fuzzy regression model that assumes the same function for spread and center. | - |
| dc.language | 영어 | - |
| dc.language.iso | en | - |
| dc.publisher | MDPI | - |
| dc.title | Hybrid Fuzzy Regression Analysis Using the F-Transform | - |
| dc.type | Article | - |
| dc.contributor.affiliatedAuthor | Jung, Hye-Young | - |
| dc.identifier.doi | 10.3390/app10196726 | - |
| dc.identifier.scopusid | 2-s2.0-85092780173 | - |
| dc.identifier.wosid | 000586546000001 | - |
| dc.identifier.bibliographicCitation | Applied Sciences-basel, v.10, no.19, pp.1 - 13 | - |
| dc.relation.isPartOf | Applied Sciences-basel | - |
| dc.citation.title | Applied Sciences-basel | - |
| dc.citation.volume | 10 | - |
| dc.citation.number | 19 | - |
| dc.citation.startPage | 1 | - |
| dc.citation.endPage | 13 | - |
| dc.type.rims | ART | - |
| dc.type.docType | Article | - |
| dc.description.journalClass | 1 | - |
| dc.description.isOpenAccess | Y | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Chemistry | - |
| dc.relation.journalResearchArea | Engineering | - |
| dc.relation.journalResearchArea | Materials Science | - |
| dc.relation.journalResearchArea | Physics | - |
| dc.relation.journalWebOfScienceCategory | Chemistry, Multidisciplinary | - |
| dc.relation.journalWebOfScienceCategory | Engineering, Multidisciplinary | - |
| dc.relation.journalWebOfScienceCategory | Materials Science, Multidisciplinary | - |
| dc.relation.journalWebOfScienceCategory | Physics, Applied | - |
| dc.subject.keywordPlus | INPUT | - |
| dc.subject.keywordPlus | MODEL | - |
| dc.subject.keywordAuthor | hybrid algorithm | - |
| dc.subject.keywordAuthor | fuzzy regression model | - |
| dc.subject.keywordAuthor | least absolute deviations estimation | - |
| dc.subject.keywordAuthor | F-transform | - |
| dc.identifier.url | https://www.mdpi.com/2076-3417/10/19/6726 | - |
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Related Researcher
- JUNG, HYE YOUNG
- ERICA 과학기술융합대학 (ERICA 수리데이터사이언스학과)