Combination approach of highly conflicting evidence based on weighted distance of evidence

Zhicheng Liu; Jiazhou He; Hui Qiao

doi:10.1117/12.2030418

27 October 2013 Combination approach of highly conflicting evidence based on weighted distance of evidence

Zhicheng Liu, Jiazhou He, Hui Qiao

Proceedings Volume 8919, MIPPR 2013: Pattern Recognition and Computer Vision; 89190P (2013) https://doi.org/10.1117/12.2030418
Event: Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, 2013, Wuhan, China

Abstract

In order to fuse highly conflicting evidence effectively, a novel combination method based on weighted distance of evidence is proposed by taking the ideas of Murphy’s averaging method and Deng’s weighted averaging method. Firstly, the essentiality of each element in the frame of discernment is given by Murphy’s idea. Secondly, the weighted averaging distance between any two bodies of evidence(BOEs) is calculated under the modified City Block distance norm, further the support degree of each evidence supported by other evidences can be obtained. Thirdly, the normalized total support degree of each evidence is considered as the weights of BOEs, and a new weighted averaging BOE will be gained. Finally, the information fusion process can be realized by using the Dempster’s rule of combination. Simulation results show that the proposed method can deal with the highly conflicting evidence with better performance of convergence, and it also can recognize the target more effectively and fleetly.

Citation Download Citation

Zhicheng Liu, Jiazhou He, and Hui Qiao "Combination approach of highly conflicting evidence based on weighted distance of evidence", Proc. SPIE 8919, MIPPR 2013: Pattern Recognition and Computer Vision, 89190P (27 October 2013); https://doi.org/10.1117/12.2030418

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