Geodesic
Information boundedness principle in fuzzy inference process
Kybernetika, Tome 38 (2002) no. 3, p. [327]

Voir la notice de l'article provenant de la source Czech Digital Mathematics Library

The information boundedness principle requires that the knowledge obtained as a result of an inference process should not have more information than that contained in the consequent of the rule. From this point of view relevancy transformation operators as a generalization of implications are investigated.
Classification : 03B52, 03E72, 68T37
Keywords: inference; fuzzy system modeling 
@article{KYB_2002__38_3_a8,
     author = {Sarkoci, Peter and \v{S}abo, Michal},
     title = {Information boundedness principle in fuzzy inference process},
     journal = {Kybernetika},
     pages = {[327]},
     publisher = {mathdoc},
     volume = {38},
     number = {3},
     year = {2002},
     mrnumber = {1944313},
     zbl = {1265.68278},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/KYB_2002__38_3_a8/}
}
TY  - JOUR
AU  - Sarkoci, Peter
AU  - Šabo, Michal
TI  - Information boundedness principle in fuzzy inference process
JO  - Kybernetika
PY  - 2002
SP  - [327]
VL  - 38
IS  - 3
PB  - mathdoc
UR  - http://geodesic.mathdoc.fr/item/KYB_2002__38_3_a8/
LA  - en
ID  - KYB_2002__38_3_a8
ER  - 
%0 Journal Article
%A Sarkoci, Peter
%A Šabo, Michal
%T Information boundedness principle in fuzzy inference process
%J Kybernetika
%D 2002
%P [327]
%V 38
%N 3
%I mathdoc
%U http://geodesic.mathdoc.fr/item/KYB_2002__38_3_a8/
%G en
%F KYB_2002__38_3_a8
Sarkoci, Peter; Šabo, Michal. Information boundedness principle in fuzzy inference process. Kybernetika, Tome 38 (2002) no. 3, p. [327]. http://geodesic.mathdoc.fr/item/KYB_2002__38_3_a8/