한국경영과학회:학술대회논문집 (Proceedings of the Korean Operations and Management Science Society Conference)

한국경영과학회 (The Korean Operations Research and Management Science Society)
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쌍대반응표면 최적화에서 편차와 분산의 가중치 결정에 관한 연구

Determining the Relative Weights of Bias and Variance in Dual Response Surface Optimization

  • 정인준 (포항공과대학교 기계산업공학부) ;
  • 김광재 (포항공과대학교 기계산업공학부) ;
  • 장수영 (포항공과대학교 기계산업공학부) ;
  • 발행 : 2004.05.21
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초록

Mean squared error (MSE) is an effective criterion to combine the mean and the standard deviation responses in dual response surface optimization. The bias and variance components of MSE need to be weighted properly in the given problem situation. This paper proposes a systematic method to determine the relative weights of bias and variance in accordance with a decision maker's prior and posterior preference structure.

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