Improved Gaussian cloud model and its application in equipment support system capability evaluation

被引：1
|
作者：
Wang T. [1 ]
Zhou W. [1 ]
Guo J. [2 ]
Wang B. [1 ]
机构：
[1] School of Aeronautics and Astronautics, Dalian University of Technology, Dalian
[2] Qian Xuesen Space Technology Laboratory, China Academy of Space Technology, Beijing
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2024年 / 46卷 / 05期
关键词：
clustering; equipment support system; improved Gaussian cloud model; similarity relation matrix;
D O I：
10.12305/j.issn.1001-506X.2024.05.20
中图分类号：
学科分类号：
摘要：
An improved Gaussian cloud model is proposed to solve the problem that the cloud model is prone to poor atomization characteristics and the evaluation results cannot be directly used in the evaluation process. Based on the expert evaluation results of the same index, the model uses the similarity relation matrix to cluster and assign weight to the experts, solves the evaluation Gaussian cloud model of each type of expert, and combines it with the weight to form the evaluation cloud model of the evaluation index. The evaluation cloud model of all indexes is integrated to form a comprehensive evaluation cloud. The evaluation results are obtained by comparing the comprehensive evaluation cloud with the cloud ruler. This method is used to evaluate the capability of equipment support system, and the evaluation results are compared with the traditional cloud model, which proves the feasibility and effectiveness of the improved Gaussian cloud model, and provides a reference for its application in the evaluation method. © 2024 Chinese Institute of Electronics. All rights reserved.
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页码：1673 / 1681
页数：8
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