scholarly journals A Framework for Evidential-Reasoning Systems

Author(s):  
John D. Lowrance ◽  
Thomas D. Garvey ◽  
Thomas M. Strat
Author(s):  
WEIRU LIU ◽  
JUN HONG ◽  
M.F. McTEAR ◽  
J.G. HUGHES

Use of the Dempster-Shafer (D-S) theory of evidence to deal with uncertainty in knowledge-based systems has been widely addressed. Several AI implementations have been undertaken based on the D-S theory of evidence or the extended theory. But the representation of uncertain relationships between evidence and hypothesis groups (heuristic knowledge) is still a major problem. This paper presents an approach to representing such knowledge, in which Yen’s probabilistic multi-set mappings have been extended to evidential mappings, and Shafer’s partition technique is used to get the mass function in a complex evidence space. Then, a new graphic method for describing the knowledge is introduced which is an extension of the graphic model by Lowrance et al. Finally, an extended framework for evidential reasoning systems is specified.


2007 ◽  
Author(s):  
Arthur Recesso ◽  
Sara E. Templin ◽  
Celil Ekici ◽  
Allan Cohen

2014 ◽  
Vol 23 (12) ◽  
pp. 3149-3160 ◽  
Author(s):  
Yi-Chi ZHANG ◽  
Jian-Min PANG ◽  
Rong-Cai ZHAO
Keyword(s):  

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