DC Field | Value | Language |
---|---|---|
dc.contributor.author | Dong Hee Lee | - |
dc.contributor.author | Kim, KJ | - |
dc.date.accessioned | 2016-03-31T09:14:29Z | - |
dc.date.available | 2016-03-31T09:14:29Z | - |
dc.date.created | 2012-02-09 | - |
dc.date.issued | 2012-04 | - |
dc.identifier.issn | 0957-4174 | - |
dc.identifier.other | 2012-OAK-0000024703 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/16874 | - |
dc.description.abstract | In dual response surface optimization, minimizing weighted mean squared error (WMSE) is a simple yet effective way of obtaining a satisfactory solution. To minimize WMSE, the weights of the squared bias and variance should be determined in advance. Determining the weights in accordance with the decision maker (DM)'s preference structure regarding the tradeoffs between the two responses is critical and difficult. In this study, we develop an interactive weighting method where the DM provides his/her preference information in the form of pairwise comparisons. Our method estimates the weights based on the pairwise comparisons in an interactive manner. The method obtains a satisfactory solution through several pairwise comparisons in the case examples that we tested. (C) 2011 Elsevier Ltd. All rights reserved. | - |
dc.description.statementofresponsibility | X | - |
dc.language | English | - |
dc.publisher | ELSEVIER | - |
dc.relation.isPartOf | EXPERT SYSTEMS WITH APPLICATIONS | - |
dc.subject | Interactive weighting method | - |
dc.subject | Pairwise comparison | - |
dc.subject | Weighted mean squared error | - |
dc.subject | MULTIRESPONSE OPTIMIZATION | - |
dc.title | Interactive weighting of bias and variance in dual response surface optimization | - |
dc.type | Article | - |
dc.contributor.college | 산업경영공학과 | - |
dc.identifier.doi | 10.1016/J.ESWA.2011.11.114 | - |
dc.author.google | Lee D.-H., Kim K.-J. | - |
dc.relation.volume | 39 | - |
dc.relation.issue | 5 | - |
dc.relation.startpage | 5900 | - |
dc.relation.lastpage | 5906 | - |
dc.contributor.id | 10084322 | - |
dc.relation.journal | EXPERT SYSTEMS WITH APPLICATIONS | - |
dc.relation.index | SCI급, SCOPUS 등재논문 | - |
dc.relation.sci | SCI | - |
dc.collections.name | Journal Papers | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | EXPERT SYSTEMS WITH APPLICATIONS, v.39, no.5, pp.5900 - 5906 | - |
dc.identifier.wosid | 000301155300130 | - |
dc.date.tcdate | 2019-01-01 | - |
dc.citation.endPage | 5906 | - |
dc.citation.number | 5 | - |
dc.citation.startPage | 5900 | - |
dc.citation.title | EXPERT SYSTEMS WITH APPLICATIONS | - |
dc.citation.volume | 39 | - |
dc.contributor.affiliatedAuthor | Kim, KJ | - |
dc.identifier.scopusid | 2-s2.0-84855883138 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.wostc | 11 | - |
dc.description.scptc | 13 | * |
dc.date.scptcdate | 2018-05-121 | * |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | Interactive weighting method | - |
dc.subject.keywordAuthor | Pairwise comparison | - |
dc.subject.keywordAuthor | Weighted mean squared error | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Operations Research & Management Science | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Operations Research & Management Science | - |
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