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基于证据向量差异度改进的冲突证据融合方法

熊秋燕 杨鹤标

计算机应用研究2012,Vol.29Issue(8):2952-2955,4.
计算机应用研究2012,Vol.29Issue(8):2952-2955,4.DOI:10.3969/j.issn.1001-3695.2012.08.039

基于证据向量差异度改进的冲突证据融合方法

Improved fusion method of conflict evidence based on evidence vector dissimilarity

熊秋燕 1杨鹤标1

作者信息

  • 1. 江苏大学计算机科学与通信工程学院,江苏镇江212013
  • 折叠

摘要

Abstract

Traditional Dempster-Shafer theory (DST) involves counter-intuitive behaviors when combining conflict evidence. This paper proposed a new evidence weight and fusion method. It introduced evidence vector dissimilarity to modify the DST conflict coefficient based on the disadvantage analysis of DST conflict definition. Then computed new evidence set mutual support matrix and evidence weight vector using the modified DST conflict coefficient. Finally, combined all weighted evidences with DST combination rule. A numerical example demonstrates the rationality and efficiency of the proposed method in combining conflict evidence. Compared with other improved combination methods,the proposed method is robust and more efficient.

关键词

证据融合/证据冲突/证据向量/向量差异度

Key words

evidence fusion/evidence conflict/evidence vector/vector dissimilarity

分类

信息技术与安全科学

引用本文复制引用

熊秋燕,杨鹤标..基于证据向量差异度改进的冲突证据融合方法[J].计算机应用研究,2012,29(8):2952-2955,4.

基金项目

国家自然科学基金资助项目(61063013,61005017) (61063013,61005017)

计算机应用研究

OA北大核心CSCDCSTPCD

1001-3695

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