TY - GEN
T1 - A new method to determine basic probability assignment under fuzzy environment
AU - Jiang, Wen
AU - Duanmu, Dejie
AU - Fan, Xin
AU - Deng, Yong
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
KW - Dempster-Shafer evidence theory
KW - basic probability assignment
KW - data fusion
KW - triangular fuzzy number
UR - http://www.scopus.com/inward/record.url?scp=84864215927&partnerID=8YFLogxK
U2 - 10.1109/ICSAI.2012.6223121
DO - 10.1109/ICSAI.2012.6223121
M3 - 会议稿件
AN - SCOPUS:84864215927
SN - 9781467301992
T3 - 2012 International Conference on Systems and Informatics, ICSAI 2012
SP - 758
EP - 762
BT - 2012 International Conference on Systems and Informatics, ICSAI 2012
T2 - 2012 International Conference on Systems and Informatics, ICSAI 2012
Y2 - 19 May 2012 through 20 May 2012
ER -