A solution selection approach to multiresponse surface optimization based on a clustering method
- Authors
- Lee, Heejung; Lee, Dong-Hee
- Issue Date
- Oct-2016
- Publisher
- TAYLOR & FRANCIS INC
- Keywords
- clustering method; compromise solution; multiresponse surface optimization; posterior preference articulation approach; response surface
- Citation
- QUALITY ENGINEERING, v.28, no.4, pp.388 - 401
- Indexed
- SCIE
SCOPUS
- Journal Title
- QUALITY ENGINEERING
- Volume
- 28
- Number
- 4
- Start Page
- 388
- End Page
- 401
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/153832
- DOI
- 10.1080/08982112.2016.1155222
- ISSN
- 0898-2112
- 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.
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