Open AccessAn Improved Algorithm of D-S Evidence Fusion
Author(s) -
Hongxuan Lei,
Sheng Li
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1871/1/012108
Subject(s) - falsity , credibility , degree (music) , convergence (economics) , information fusion , mathematics , evidence based practice , computer science , artificial intelligence , algorithm , epistemology , economics , medicine , philosophy , acoustics , alternative medicine , pathology , physics , economic growth
In the theory of evidence fusion, it is a very important task to deal with the conflicts between evidences correctly. Based on the credibility degree of evidence proposed in [10], in order to increase the credibility degree of each group of evidence, the concept of falsity is introduced, which is another concept to represent the conflict between two groups of evidence, this treatment makes up for the deficiency of normalized evidence weight coefficient when one group of evidence credibility degree is zero. Because we consider not only the credibility degree of evidence, but also the falsity of evidence, the weight coefficient of unreliable information is effectively reduced. The numerical simulation results show that the algorithm has the advantages of simple idea, fast convergence speed and strong focusing.