| Citation: | WEI Dongtao, LIU Xiaodong, DING Gang, et al. Complex equipment cost estimation model based on entropy theory[J]. Journal of Beijing University of Aeronautics and Astronautics, 2022, 48(5): 816-823. doi: 10.13700/j.bh.1001-5965.2020.0678(in Chinese)
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In order to improve the cost prediction accuracy of large and complex equipment such as aircraft and airplanes, based on the principle of similar information priority and entropy theory, the selection of similar equipment is regarded as a process of information fusion, and distance entropy and grey relational entropy are introduced to construct a comprehensive similarity index in order to measure the similarity between the equipment sample and the equipment to be predicted, assign weights to different samples, and establish a weighted least squares method to predict equipment costs. In the situation where the number of equipment samples is less than the number of parameters, the cost driven effect matrix is established and the calculation of the corresponding entropy weight is performed by constructing equipment parameters. The parameter with larger entropy weight is selected as the independent variable of the prediction model.The comparative analysis of examples shows that the weighted regression calculation model based on entropy theory has high prediction accuracy and stability.
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