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Ridge Fuzzy Regression Model
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Choi, Seung Hoe | - |
| dc.contributor.author | Jung, Hye-Young | - |
| dc.contributor.author | Kim, Hyoshin | - |
| dc.date.accessioned | 2021-06-22T09:26:38Z | - |
| dc.date.available | 2021-06-22T09:26:38Z | - |
| dc.date.created | 2021-01-21 | - |
| dc.date.issued | 2019-10 | - |
| dc.identifier.issn | 1562-2479 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/2139 | - |
| dc.description.abstract | Ridge regression model is a widely used model with many successful applications, especially in managing correlated covariates in a multiple regression model. Multicollinearity represents a serious threat in fuzzy regression models as well. We address this issue by combining ridge regression with the fuzzy regression model. Our proposed algorithm uses the a-level estimation method to evaluate the parameters of the ridge fuzzy regression model. Two examples are given to illustrate the ridge fuzzy regression model with crisp input/fuzzy output and fuzzy coefficients. | - |
| dc.language | 영어 | - |
| dc.language.iso | en | - |
| dc.publisher | Chinese Fuzzy Systems Association | - |
| dc.title | Ridge Fuzzy Regression Model | - |
| dc.type | Article | - |
| dc.contributor.affiliatedAuthor | Jung, Hye-Young | - |
| dc.identifier.doi | 10.1007/s40815-019-00692-0 | - |
| dc.identifier.scopusid | 2-s2.0-85069513534 | - |
| dc.identifier.wosid | 000493567300008 | - |
| dc.identifier.bibliographicCitation | International Journal of Fuzzy Systems, v.21, no.7, pp.2077 - 2090 | - |
| dc.relation.isPartOf | International Journal of Fuzzy Systems | - |
| dc.citation.title | International Journal of Fuzzy Systems | - |
| dc.citation.volume | 21 | - |
| dc.citation.number | 7 | - |
| dc.citation.startPage | 2077 | - |
| dc.citation.endPage | 2090 | - |
| dc.type.rims | ART | - |
| dc.type.docType | Article | - |
| dc.description.journalClass | 1 | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Automation & Control Systems | - |
| dc.relation.journalResearchArea | Computer Science | - |
| dc.relation.journalWebOfScienceCategory | Automation & Control Systems | - |
| dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
| dc.subject.keywordPlus | NUMBERS | - |
| dc.subject.keywordAuthor | Ridge regression | - |
| dc.subject.keywordAuthor | Multicollinearity | - |
| dc.subject.keywordAuthor | Ridge fuzzy regression model | - |
| dc.subject.keywordAuthor | Fuzzy multiple linear regression model | - |
| dc.identifier.url | https://link.springer.com/article/10.1007/s40815-019-00692-0 | - |
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Related Researcher
- JUNG, HYE YOUNG
- ERICA 과학기술융합대학 (ERICA 수리데이터사이언스학과)