DocumentCode :
2645146
Title :
Reasonable conclusions in fuzzy reasoning
Author :
Lazzerini, Beatrice ; Marcelloni, Francesco
Author_Institution :
Dipartimento di Ingegneria della Inf., Pisa Univ., Italy
fYear :
1996
fDate :
16-19 Nov. 1996
Firstpage :
440
Lastpage :
442
Abstract :
We consider fuzzy implication operators which are extensions of the two valued logic implication operator and are non decreasing with respect to their second argument. Firstly, we analyze some features of these operators with regard to fuzzy reasoning with one rule. Then, as regards approximate reasoning with multiple rules, we demonstrate that, for an inference process using Sup-T composition in the context of Compositional Rule of Inference (CRI), a necessary condition to infer a reasonable conclusion is that the minimum be used as an aggregation operator. Finally, when the minimum is used as an aggregation operator we provide a sufficient condition to obtain a reasonable inference result.
Keywords :
fuzzy set theory; inference mechanisms; multivalued logic; uncertainty handling; CRI; Compositional Rule of Inference; Sup-T composition; aggregation operator; approximate reasoning; fuzzy implication operators; fuzzy reasoning; inference process; multiple rules; reasonable conclusions; reasonable inference result; sufficient condition; two valued logic implication operator; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Hybrid intelligent systems; Logic;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Tools with Artificial Intelligence, 1996., Proceedings Eighth IEEE International Conference on
ISSN :
1082-3409
Print_ISBN :
0-8186-7686-7
Type :
conf
DOI :
10.1109/TAI.1996.560774
Filename :
560774
Link To Document :
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