Title :
A new method to determine Basic Probability Assignment under fuzzy environment
Author :
Wen Jiang ; Dejie Duanmu ; Xin Fan ; Yong Deng
Author_Institution :
Sch. of Electron. & Inf., Northwestern Polytech. Univ., Xi´an, China
Abstract :
Dempster Shafer theory of evidence has been widely used in many data fusion application systems. However, how to determine Basic Probability Assignment (BPA), which is the main and the first step in evidence theory, is still an open issue. In the proposed method, species model can be constructed by determination of the min, average and max value to construct a triangular fuzzy number. Then, a method to obtain BPA is proposed based on the similarity measure between generalized fuzzy numbers. Finally, the Iris data classification is used to verify the effectiveness of the proposed method.
Keywords :
fuzzy set theory; inference mechanisms; iris recognition; probability; sensor fusion; BPA; Dempster Shafer theory; average value determination; basic probability assignment; data fusion application systems; evidence theory; fuzzy environment; fuzzy numbers; iris data classification; max value determination; min value determination; similarity measurement; triangular fuzzy number; Area measurement; Bismuth; Data models; Educational institutions; Iris; Nickel; Standards; Dempster-Shafer evidence theory; basic probability assignment; data fusion; triangular fuzzy number;
Conference_Titel :
Systems and Informatics (ICSAI), 2012 International Conference on
Conference_Location :
Yantai
Print_ISBN :
978-1-4673-0198-5
DOI :
10.1109/ICSAI.2012.6223121