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
이희정
Keywords
clustering method; compromise solution; multiresponse surface optimization; posterior preference articulation approach; response surface
Issue Date
2016-05
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/10.1080/08982112.2016.1155222http://hdl.handle.net/20.500.11754/67150
ISSN
0898-2112; 1532-4222
DOI
10.1080/08982112.2016.1155222
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ETC > 연구정보
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