Determine discounting coefficient in data fusion based on fuzzy ART neural network

Authors:
Dong Sun;Yong Deng
Affiliations:
Department 8, Institute of Automatic Detection (810), Shanghai Jiao Tong University, Shanghai, China;Department 8, Institute of Automatic Detection (810), Shanghai Jiao Tong University, Shanghai, China
Venue:
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
Year:
2006

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Abstract

The method of discounting coefficient is an efficient way to solve the problem of evidence conflicts. In this paper a new method to calculate the discounting coefficient of evidence based on evidence clustering by the way of fuzzy ART neural network is proposed. The discounted evidence is taken into account in belief function combination. A numerical example is shown to illustrate the use of the proposed method to handle conflicting evidence.