Title :
Combination Method for Dempster-Shafer Evidence Based on Priority Factors
Author :
Xiaoping Wu ; Qing Ye
Author_Institution :
Dept. of Inf. Security, Naval Univ. of Eng., Wuhan
Abstract :
Dempster-Shafer theory is an effective method for uncertain inference. It can combine evidences from different sources and therefore it has found successful application in many domains. However, the traditional method may be invalid if the conflicts between evidences are severe. Priority factors are introduced to reallocate conflict probabilities so as to improve the traditional evidence combination method. The improved method increases the probability of true propositions. Thus, the evidence combination result becomes more reasonable than traditional combination methods. An illustrative example shows the effectiveness and validity of the proposed method
Keywords :
case-based reasoning; probability; uncertainty handling; Dempster-Shafer evidence; Dempster-Shafer theory; belief functions; conflict probability reallocation; evidence combination method; priority factors; true proposition probability; uncertainty inference; Automation; Bayesian methods; Books; Decision making; Expert systems; Information security; Intelligent control; Sun; Uncertainty; Belief functions; Dempster-Shafer theory of Evidence; Priority factor; Uncertainty inference;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1713384