Paper Info
Title
A New Evidence Combination Scheme for Decision Assistant
Abstract
In D-S evidence theory, the Dempster's rule always leads to counter-intuitive results when combining conflicting evidences. The methods proposed to solve these problems all simply focus on BBA features, and ignore the decision assistant purpose. In order to get consistent results, a new combination scheme is proposed, which imitates the thinking of our brain, and fuses evidences with different conflict levels by different rules. The new scheme firstly classifies the evidences according to decision support property, then, fuses the BBAs in the same class through classical discounting method, in which the discount factor is related to probability quality, finally, combines the evidences conflicting seriously through another discount way selecting BBA reliability as the factor. The numeric examples show that the new scheme evaluates BBAs from decision assistant point all-time long, and can solve the counter-intuitive paradoxes effectively.
Year
DOI
Venue
2012
10.1109/CyberC.2012.18
CyberC
Keywords
Field
DocType
new scheme,d-s theory,bba features,decision making,new scheme firstly,conflicting evidence,bba reliability,d-s evidence theory,bba feature,new combination scheme,decision support property,dempster rule,probability quality,counter-intuitive paradox,conflict evidence,uncertainty handling,decision assistant point,new evidence,combination scheme,combination method,decision assistant purpose,evidence combination scheme,counter-intuitive paradoxes,probability,decision assistant,artificial intelligence,psychology,probabilistic logic,reliability,uncertainty,fuses
Discounting,Computer science,Decision support system,Artificial intelligence,Probabilistic logic,Fuse (electrical),Uncertainty handling,Machine learning
Conference
ISBN
Citations 
PageRank 
978-1-4673-2624-7
1
0.36
References 
Authors
0
3
Name
Order
Citations
PageRank
Wanqing Wang110.36
Yongjun Zhao221.73
Jie Huang310.36