Efficient combination rule of Dezert-Smarandache theory

被引：4

作者：

Research Inst. of Information Fusion, Naval Aeronautical Astronautical Univ., Yantai, 264001, China ^{[1
]}

机构：

[1] Research Inst. of Information Fusion, Naval Aeronautical Astronautical Univ., Yantai

来源：

J Syst Eng Electron | 2008年 / 6卷 / 1139-1144期

基金：

中国国家自然科学基金;

关键词：

DSmT; object recognition; the focal element of conflict;

D O I：

10.1016/S1004-4132(08)60210-8

中图分类号：

学科分类号：

摘要：

The Dezert-Smarandache theory (DSmT) is a useful method for dealing with uncertainty problems. It is more efficient in combining conflicting evidence. Therefore, it has been successfully applied in data fusion and object recognition. However, there exist shortcomings in its combination rule. An efficient combination rule is presented, that is, the evidence's conflicting probability is distributed to every proposition based on remaining the focal elements of conflict. Experiments show that the new combination rule improves the reliability and rationality of the combination results. Although evidences conflict another one highly, good combination results are also obtained. © 2008 The Second Academy of China Aerospace Science & Industry Cooperation.

引用

页码：1139 / 1144

页数：5

共 5 条

[1]

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[2]

Dezert J., Smarandache F., Advances and applications of DSmT for information fusion, (2004)

[3]

Dezert J., Foundations for a new theory of plausible and paradoxical reasoning, Information & Security. An Int. Journal, (2002)

[4]

Hou J., Miao Z., Pan Q., Target recognition a method of sequential images based on the weight-DSmT, Fire Control and Command Control, 31, 7, pp. 53-56, (2006)

[5]

Miao Z., Chen Y.-m., Liang Y., Et al., Improved Dezert-Smarandache theory and its application in target recognition, Computer Applications, 25, 9, pp. 2044-2046, (2005)

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