A solution selection approach to multiresponse surface optimization based on a clustering method
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Heejung | - |
dc.contributor.author | Lee, Dong-Hee | - |
dc.date.accessioned | 2022-07-15T05:34:04Z | - |
dc.date.available | 2022-07-15T05:34:04Z | - |
dc.date.created | 2021-05-12 | - |
dc.date.issued | 2016-10 | - |
dc.identifier.issn | 0898-2112 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/153832 | - |
dc.description.abstract | In Multi-Response Surface Optimization (MRSO), responses are often in conflict. To obtain a satisfactory compromise, the preference information of a Decision Maker (DM) on the tradeoffs among the responses should be considered. One of the promising alternatives is a posterior preference articulation approach. It first generates nondominated solutions and then makes the DM select the best one from the nondominated solutions. In this article, a solution selection approach is presented. It takes the posterior approach and employs a clustering method to aid the selection process of the DM. The DM can obtain the satisfactory compromise solution easily by the proposed method. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | TAYLOR & FRANCIS INC | - |
dc.title | A solution selection approach to multiresponse surface optimization based on a clustering method | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Lee, Heejung | - |
dc.contributor.affiliatedAuthor | Lee, Dong-Hee | - |
dc.identifier.doi | 10.1080/08982112.2016.1155222 | - |
dc.identifier.scopusid | 2-s2.0-84969872345 | - |
dc.identifier.wosid | 000381584700003 | - |
dc.identifier.bibliographicCitation | QUALITY ENGINEERING, v.28, no.4, pp.388 - 401 | - |
dc.relation.isPartOf | QUALITY ENGINEERING | - |
dc.citation.title | QUALITY ENGINEERING | - |
dc.citation.volume | 28 | - |
dc.citation.number | 4 | - |
dc.citation.startPage | 388 | - |
dc.citation.endPage | 401 | - |
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 | Engineering | - |
dc.relation.journalResearchArea | Mathematics | - |
dc.relation.journalWebOfScienceCategory | Engineering, Industrial | - |
dc.relation.journalWebOfScienceCategory | Statistics & Probability | - |
dc.subject.keywordPlus | MULTIPLE RESPONSES | - |
dc.subject.keywordPlus | ROBUST DESIGN | - |
dc.subject.keywordPlus | CRITERIA | - |
dc.subject.keywordAuthor | clustering method | - |
dc.subject.keywordAuthor | compromise solution | - |
dc.subject.keywordAuthor | multiresponse surface optimization | - |
dc.subject.keywordAuthor | posterior preference articulation approach | - |
dc.subject.keywordAuthor | response surface | - |
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