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. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Sun, D., & Deng, Y. (2006). Determine discounting coefficient in data fusion based on fuzzy ART neural network. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3971 LNCS, pp. 1286–1292). Springer Verlag. https://doi.org/10.1007/11759966_191
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