张歆茗1, 2,
郭伟震1,
王琰1
1.鲁东大学信息与电气工程学院 ??烟台 ??264025
2.华东师范大学外国语学院 ??上海 ??200241
基金项目:国家自然科学基金重大研究计划(91538201)，国家自然科学基金青年基金(61304052)
详细信息
作者简介:周莉：女，1966年生，博士，教授，研究方向为优化设计与计算、不完全信息处理
张歆茗：女，1990年生，博士生，研究方向为多模态数据分析、信息融合
郭伟震：男，1991年生，硕士，研究方向为数据处理、故障诊断
王琰：女，1996年生，硕士生，研究方向为数据挖掘、机器学习
通讯作者:周莉 zxyzlzwh_99@sina.com
中图分类号:TN391计量
文章访问数:1147
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被引次数:0
出版历程
收稿日期:2018-06-12
修回日期:2018-12-24
网络出版日期:2019-01-03
刊出日期:2019-05-01
A Direct Fusion Algorithm for Multiple Pieces of Evidence Based on Improved Conflict Measure
Li ZHOU1,,,Xinming ZHANG1, 2,
Weizhen GUO1,
Yan WANG1
1. School of Information and Electrical Engineering, Ludong University, Yantai 264039, China
2. School of Foreign Languages, East China Normal University, Shanghai 200241, China
Funds:The Major Research Plan of the National Natural Science Foundation of China (91538201), The Youth Project of the National Natural Science Foundation of China (61304052)
摘要
摘要:针对Jousselme证据距离函数不能较好描述证据局部冲突和不能对高冲突证据进行准确冲突度量的不足，该文首先提出改进的Jousselme证据距离函数，该函数基于能够较好描述证据之间局部冲突情况的非重合度对Jousselme证据距离函数进行改进，使其冲突度量结果随非重合度取值及其取值范围的变化按适当比例进行变化；其次，基于冲突系数和新改进Jousselme证据距离函数共同构建改进的融合冲突度量函数。在此基础上，对焦元权系数计算式进行改进，并依此对局部多维冲突信息进行按比例分配。理论及应用分析结果表明，新算法是一种适用性广泛且抗干扰性能好的证据融合算法。
关键词:Dempster证据组合规则/
冲突度量/
证据距离/
非重合度
Abstract:In the light of the disadvantages that Jousselme’s evidential distance function can not describe the local conflicting information of evidence well and can not measure the conflict of high conflicting evidence accurately, an improved Jousselme’s evidential distance function is proposed. In the new function, Jousselme’s evidence distance function is improved by using the non-coincidence degree, which can better describe the local conflict of evidence, so that the conflict measure result of evidence varies proportionally with the value of the non-coincidence degree and the scope of its change. Secondly, an improved fusion conflict measure function is constructed based on the conflict coefficient and the new improved Jousselme’s evidential distance function. On this basis, the weight coefficient formula of focal element is improved, and the local multi-dimensional conflicting information is assigned proportionately. Theoretical and application analysis results show that the new algorithm is a kind of evidence fusion algorithm with wide applicability and good anti-jamming performance.
Key words:Dempster evidence combination rule/
Conflict measure/
Evidence distance/
Non-coincidence degree
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