Abstract
Purchase PDF (1165 K)
E-mail Article
Add to my Quick Links
Cited By in Scopus (4)
Purchase PDF (309 K)
doi:10.1016/0888-613X(88)90006-0 
Copyright © 1988 Published by Elsevier Science Inc.
On the combination of uncertain or imprecise pieces of information in rule-based systems—A discussion in the framework of possibility theory*1
References and further reading may be available for this article. To view references and further reading you must purchase this article.
Available online 20 May 2003.
Abstract
This paper is devoted to a general discussion of the combination of distinct imprecise or uncertain pieces of information pertaining to the same logical or numerical variable in rule-based expert systems using numerical approximate reasoning techniques. The reasons that the results of this combination may be meaningless are considered in detail. In particular, the presence of implicit default assumptions in the condition part of a rule is discussed and coped with. Moreover, the paper studies why the conclusions obtained by the most specific rule must be definitely preferred to conclusions derived using more general rules. Specificity ordering is defined within the framework of possibility theory.
Author Keywords: rule-based inference system; combination operation; data fusion; imprecision; incertainty; rule specificity; possibility theory
Article Outline
Corresponding author. Address correspondence to Didier Dubois, Laboratoire Langages et Systèmes Informatiques, ques, Université Paul Sabatier, 118 route de Narbonne, 31062 , Toulouse Cédex, , France.
*1 Research supported by PRC-GRECO “Intelligence Artificielle”
