改进高斯云模型及其在装备保障体系能力评估中的应用

doi:10.12305/j.issn.1001-506X.2024.05.20

摘要/Abstract

摘要：

针对云模型在评估方法使用过程容易出现雾化特性差、评估结果不能直接使用的问题, 提出一种改进的高斯云模型。该模型针对相同指标的专家评估结果, 利用相似关系矩阵对专家进行聚类并赋权, 求解每类专家的评估高斯云模型, 并将其与权重结合形成该评估指标的评估云模型; 综合所有指标的评估云模型形成综合评估云; 将综合评估云与云标尺进行比对得出评估结果。运用该方法对装备保障体系能力进行评估, 并与传统云模型所得评估结果进行对比, 证明了改进高斯云模型的可行性和有效性, 为其在评估方法中的运用提供参考。

关键词: 改进高斯云模型, 相似关系矩阵, 聚类, 装备保障体系

Abstract:

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.

Key words: improved Gaussian cloud model, similarity relation matrix, clustering, equipment support system

中图分类号:

TJ9
E933

汪涛, 周文雅, 郭继唐, 王博. 改进高斯云模型及其在装备保障体系能力评估中的应用[J]. 系统工程与电子技术, 2024, 46(5): 1673-1681.

Tao WANG, Wenya ZHOU, Jitang GUO, Bo WANG. Improved Gaussian cloud model and its application in equipment support system capability evaluation[J]. Systems Engineering and Electronics, 2024, 46(5): 1673-1681.

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评语集	云模型的数字特征
优秀	(1.0, 0.103, 0.013)
良好	(0.691, 0.064, 0.008)
中	(0.5, 0.039, 0.005)
一般	(0.318, 0.064, 0.008)
差	(0, 0.103, 0.013)

准则层	分值	指标层	分值
B₁	7	B₁₁	9
		B₁₂	8
		B₁₃	7
		B₁₄	6
B₂	9	B₂₁	9
		B₂₂	6
		B₂₃	7
		B₂₄	8
		B₂₅	9
B₃	6	B₃₁	9
		B₃₂	7
		B₃₃	9

准则层	权值	指标层	权值
B₁	0.238 5	B₁₁	0.467 3
		B₁₂	0.277 2
		B₁₃	0.160 1
		B₁₄	0.095 4
B₂	0.625 0	B₂₁	0.319 2
		B₂₂	0.068 3
		B₂₃	0.109 3
		B₂₄	0.184 0
		B₂₅	0.319 2
B₃	0.136 5	B₃₁	0.600 0
		B₃₂	0.200 0
		B₃₃	0.200 0

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