BPA Generation Method Based on the Similarity of Fuzzy Numbers
Yunfei Wang · Modern Electronics Technique · 2011
In the framework of evidence theory,information fusion relies on the use of combination rule allowing the belief functions for the different propositions to be combined.A crucial role in evidence theory is played by Dempster ′s combination rule which has several interesting mathematical properties such as commutativity and associativity,and can be combined without prior information which make it widely used in many data fusion systems.However,how to construct basic probability assignment(BPA) is still an open issue.A new method to obtain BPA based on the similarity measure between fuzzy numbers is proposed.The efficiency and the applicability of the proposed method is illustrated by the illustration of Iris data classification.