Determinging BPA under uncertainty environments and its application in data fusion

Yong Deng, Wen Jiang, Xiaobin Xu, Qi Li, Dong Wang

科研成果: 期刊稿件文章同行评审

24 引用 (Scopus)

摘要

Dempster-Shafer (DS) theory of evidence has been widely used in many data fusion application systems. However, how to determine basic probability assignment, which is the main and the first step in evidence theory, is still an open issue. In this paper, a new method to obtain Basic Probability Assignment (BPA) is proposed based on the similarity measure between generalized fuzzy numbers. In the proposed method, species model can be constructed by determination of the min, average and max value to construct a fuzzy number. Then, a new Radius Of Gravity (ROG) method to determine the similarity measure between generalized fuzzy numbers is used to calculate the BPA functions of each instance. Finally, the efficiency of the proposed method is illustrated by the classification of Iris data.

源语言英语
页(从-至)13-17
页数5
期刊Journal of Electronics
26
1
DOI
出版状态已出版 - 1月 2009

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