| A new fusion approach based on distance of evidences |
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| 作者姓名： | 陈良洲 施文康 邓勇 朱振福 |
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| 基金项目： | Project (No. 51476040103JW13) supported by the National DefenseKey Laboratory of Target and Environment Feature of China |
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| 摘 要： | INTRODUCTION Interest in data fusion has markedly increased over the last decade, especially for military applica-tions; and is also widely used in other fields, such as image processing and analysis and classification or target tracking (Goodman et al., 1997; Linas and Waltz, 1990; Hall and Linas, 2001). Based on the framework of evidence theory, data fusion relies on the use of combination rules allowing the belief functions for the different propositions to be com-bined. Dempster’s …
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| 关 键 词： | 证据理论 证据冲突 证据可信性 合并规则 信息资源 |
A new fusion approach based on distance of evidences |
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| Chen Liang-zhou,Shi Wen-kang,Deng Yong,Zhu Zhen-fu.A new fusion approach based on distance of evidences[J].Journal of Zhejiang University Science,2005,6(5):476-482. |
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| Authors: | Chen Liang-zhou Shi Wen-kang Deng Yong Zhu Zhen-fu |
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| Institution: | (1) School of Electronics & Information Technology, Shanghai Jiaotong University, 200030 Shanghai, China;(2) National Defense Key Laboratory of Target and Environment Feature, 100854 Beijing, China |
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| Abstract: | Based on the framework of evidence theory, data fusion aims at obtaining a single Basic Probability Assignment (BPA) function by combining several belief functions from distinct information sources. Dempster's rule of combination is the most popular rule of combinations, but it is a poor solution for the management of the conflict between various information sources at the normalization step. Even when it faces high conflict information, the classical Dempster-Shafer's (D-S) evidence theory can involve counter-intuitive results. This paper presents a modified averaging method to combine conflicting evidence based on the distance of evidences; and also gives the weighted average of the evidence in the system. Numerical examples showed that the proposed method can realize the modification ideas and also will provide reasonable results with good convergence efficiency. |
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| Keywords: | Data fusion Evidence distance Conflicting evidence Evidence credibility Combination rules |
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