FUSION OF DEPENDENCY INFORMATION USING DEMPSTER-SHAFER EVIDENTIAL REASONING

Luo Zhizeng; Ye Ming

Volume 23 Issue 10

Oct. 2001

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Article Navigation > Journal of Electronics & Information Technology > 2001 > 23(10): 970-974

Yongjuan WANG, Tao WANG, Qingjun YUAN, Yang GAO, Xiangbin WANG. Side Channel Cube Attack Improvement and Application to Cryptographic Algorithm[J]. Journal of Electronics & Information Technology, 2020, 42(5): 1087-1093. doi: 10.11999/JEIT181075

Citation:

Luo Zhizeng, Ye Ming . FUSION OF DEPENDENCY INFORMATION USING DEMPSTER-SHAFER EVIDENTIAL REASONING[J]. Journal of Electronics & Information Technology, 2001, 23(10): 970-974.

Citation:

Luo Zhizeng, Ye Ming . FUSION OF DEPENDENCY INFORMATION USING DEMPSTER-SHAFER EVIDENTIAL REASONING[J]. Journal of Electronics & Information Technology, 2001, 23(10): 970-974.

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FUSION OF DEPENDENCY INFORMATION USING DEMPSTER-SHAFER EVIDENTIAL REASONING

Received Date: 1999-08-27
Rev Recd Date: 2000-05-25
Publish Date: 2001-10-19

Abstract

Abstract

Multisensor data fusion using Derapster-Shafer evidential reasoning is based on information s independence, but it is not true in many practical situations. This paper describes a multisensor data fusion method based on Dempster-Shafer evidential reasoning, and also gives a generalized Dempster-Shafer theory of evidence which is efficient in dealing with dependent, information. A test is tried out for object assortment based on the fusion of information from force and thermal sensors of the robot.

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References(1)

References

L.A. Klein, Sensor and data fusion concepts and applications, Proc. of SPIE, 1993, TT-14,125-128.[2]G.A. Shafer, A Mathematical Theory of Evidence., Princeton, NJ., Princeton Univ. Press, 1976,Chapter 3. ［3］R.M. Fung, et al., Metaprobability and Dempster-Shafer in Evidential Reasoning, Uncertainty in Artificial Intelligence, North-Holland, Elsevier Science Publishers, 1986, 295-302.[3]邵远,何发昌,罗志增,多传感器信息融合浅析,电子学报,1994,22(5),73-79.[4]段新生,证据理论与决策、人工智能,北京,中国人民大学出版,1993,第二章.[5]Y.Q. Cheng, Y. G. Wu, et al., Generalized integration method of evidence with dependency information, Proc.[J]. of SPIE.1992,1828:288-

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