A New Method to Determine Basic Probability Assignment Using Core Samples
The Dempster-Shafer theory of evidence (D-S theory) has been widely used in many information fusion systems.However, the determination of basic probability assignment (BPA) remains an open problem which can considerably influence final results.In this paper, a new method to determine BPA using core samples is proposed.Unlike most of existing methods that determining BPA in a heuristic way, the proposed method is data-driven.It uses training data to generate core samples for each attribute model.Then, helpful core samples in generating BPAs are selected.Calculation of the relevance ratio based on convex hulls is integrated into the core sample selection as a new feature of the proposed method.BPAs are assigned based on the distance between the test data and the selected core samples.Finally, BPAs are combined to get a final BPA using the Dempsters combination rule.In this paper, compound hypotheses are taken into consideration.BPA generated by the proposed method can be combined with some other sources of information to reduce the uncertainty.The proposed method can be considered as a data classifier using belief function.Empirical trials on benchmark database shows the efficiency of the proposed method.
data fusion Dempster-Shafer theory of evidence basic probability assignment core sample convex hull
Chenwei Zhang Yong Hu Felix T.S.Chan Rehan Sadiq Yong Deng
School of Computer and Information Science, Southwest University, Chongqing, China Institute of Business Intelligence & Knowledge Discovery, Department of E-commerce, Guangdong Univer Department of Industrial and Manufacturing Systems Engineering, The Hong Kong Polytechnic University School of Engineering, University of British Columbia Okanagan, 3333 University Way,Kelowna, BC, Can
国际会议
昆明
英文
134-148
2014-05-01（万方平台首次上网日期，不代表论文的发表时间）