Complex equipment cost estimation model based on entropy theory

被引：0
|
作者：
Wei D. [1 ,2 ]
Liu X. [1 ]
Ding G. [1 ]
Chen Y. [1 ]
机构：
[1] School of Equipment Management and UAV Engineering, Air Force Engineering University, Xi'an
[2] Air Force Material and Four-Stations Department, Air Force Logistics College, Xuzhou
来源：
Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics | 2022年 / 48卷 / 05期
基金：
中国国家自然科学基金;
关键词：
Complex equipment; Distance entropy; Driving effect; Entropy weight; Grey relational entropy;
D O I：
10.13700/j.bh.1001-5965.2020.0678
中图分类号：
学科分类号：
摘要：
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. © 2022, Editorial Board of JBUAA. All right reserved.
引用
收藏
页码：816 / 823
页数：7
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