A solution selection approach to multiresponse surface optimization based on a clustering method
- Title
- A solution selection approach to multiresponse surface optimization based on a clustering method
- Author
- 이동희
- Keywords
- clustering method; compromise solution; multiresponse surface optimization; posterior preference articulation approach; response surface
- Issue Date
- 2016-08
- Publisher
- TAYLOR & FRANCIS INC
- Citation
- QUALITY ENGINEERING, v. 28, NO. 4, Page. 388-401
- 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.
- URI
- https://www.tandfonline.com/doi/full/10.1080/08982112.2016.1155222https://repository.hanyang.ac.kr/handle/20.500.11754/76519
- ISSN
- 0898-2112; 1532-4222
- DOI
- 10.1080/08982112.2016.1155222
- Appears in Collections:
- ETC[S] > 연구정보
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