内燃机与配件2024,Issue(6) :125-127.

基于模糊变换的多模型速度结果融合

Fusion of Accident Recurrence Results by Improved Fuzzy Entropy Method Based on Clustering

朱娜 唐阳山 甘恬 张康
内燃机与配件2024,Issue(6) :125-127.

基于模糊变换的多模型速度结果融合

Fusion of Accident Recurrence Results by Improved Fuzzy Entropy Method Based on Clustering

朱娜 1唐阳山 1甘恬 1张康2
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作者信息

  • 1. 辽宁工业大学汽车与交通工程学院,辽宁锦州 121001
  • 2. 辽宁正大司法鉴定中心,辽宁营口 115000
  • 折叠

摘要

在不确定分析基础上,为融合多源模型事故再现速度结果,本文提出一种基于模糊变换的多模型结果融合方法.首先对多模型事故再现速度结果离散化,采用K-means聚类获得聚类结果,以各聚类区间数据极值作子区间;根据熵值法得到各模型的信度,用最小信息熵原理将D-S证据理论融合得到的各专家对模型的打分融入到熵值法模型信度中去,对其进行修正;最后以模型信度为权重集与评判矩阵作模糊变换进行综合评判,得最终融合结果.并通过一真实事故案例进行实际应用.

Abstract

On the basis of uncertainty analysis,a fusion method of multi-model results based on fuzzy trans-formation is proposed in this paper.Firstly,the results of multi-model accident reproduction are discretized,the clustering results are obtained by K-means clustering,and the extreme values of each cluster interval are used as sub-intervals.According to the entropy method,the reliability of each model is obtained.The minimum informa-tion entropy principle is used to integrate the D-S evidence theory into the model reliability of each expert.Final-ly,the reliability of the model is used as the weight set and the evaluation matrix to make a comprehensive evalu-ation of fuzzy transformation,and the final fusion result is obtained.And through a real accident case to carry on the practical application.

关键词

多模型事故速度结果/熵值法/D-S证据理论/最小信息熵/模糊变换

Key words

Accident reconstruction/Entropy method/D-S evidence theory/Minimum information entropy/Fuzzy mapping

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基金项目

辽宁省教育厅基本科研项目(2023)(JYTMS20230842)

出版年

2024
内燃机与配件
石家庄金刚内燃机零部件集团有限公司

内燃机与配件

影响因子:0.095
ISSN:1674-957X
参考文献量6
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