Balancing the Subjective and Objective Weights for Correlated Multiresponse Optimization

摘要: Desirability function approach is very popular for multiresponse optimization problems. However, the ignores correlations among multiple responses and does not consider how to reasonably determine relative weights of responses. In this paper, an integrative desirability proposed simultaneously weight determination method. For approach, root mean square error performance regarded as a new response, then seemingly unrelated regression estimation utilized fit models. Through balancing subjective objective information, can be used make more reasonable decisions correlated optimization. Two examples are employed validate effectiveness approach. Copyright © 2015 John Wiley & Sons, Ltd.