Set Measure Directed Multi-Source Information Fusion

被引:27
|
作者
Yager, Ronald R. [1 ]
机构
[1] Iona Coll, Inst Machine Intelligence, New Rochelle, NY 10805 USA
关键词
Aggregation; Dempster-Shafer; fuzzy measure representation; hard-soft fusion; multi-source fusion; uncertainty modeling;
D O I
10.1109/TFUZZ.2011.2159725
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Our concern here is with the multi-source fusion problem. Two important aspects of this problem are the representation of information provided by the sources and the formulation of the instructions on how to fuse the information provided, which we refer to as the fusion imperative. We investigate the use of a monotonic set measure as a means of representing the fusion imperative. We look at the fusion of various different types of information, precise data, uncertain information such as probabilistic and possibilistic. We also consider the case of imprecise uncertain information such as that represented by a Dempster-Shafer belief structure.
引用
收藏
页码:1031 / 1039
页数:9
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