%0 Journal Article
%@holdercode {isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S}
%@nexthigherunit 8JMKD3MGPCW/3ESGTTP
%@resumeid 8JMKD3MGP5W/3E3JEJL
%X We present here a method that uses similarity relations to restore consistency in fuzzy gradual rules systems: we propose to transform potentially inconsistent rules by making their consequents more imprecise. Using a suitable similarity relation we obtain consistent rules with a minimum of extra imprecision. We also present an application to illustrate the approach.
%@secondarydate 20020608
%T Restoring inconsistentency in systems of fuzzy gradual rules using similarity relations
%K COMPUTACAO APLICADA, uzzy rule-based systems, gradual rules, inconsistency, similarity, knowledge bases.
%@secondarytype PRE PI
%@archivingpolicy denypublisher denyfinaldraft12
%@usergroup administrator
%@usergroup banon
%@usergroup jefferson
%@group LAC-INPE-MCT-BR
%3 restoring consistency, Drummond isabela.pdf
%@secondarykey INPE-14923-PRE/9836
%@copyholder SID/SCD
%F 10821
%@issn 0302-9743
%2 sid.inpe.br/iris@1905/2005/08.04.07.11.28
%B Lecture Notes in Artificial Intelligence
%@versiontype publisher
%P 386-396
%4 sid.inpe.br/iris@1905/2005/08.04.07.11
%@documentstage not transferred
%D 2002
%V 2507
%O Brazilian
%O International
%O on
%O Artificial
%O Intelligence
%O 16
%O <2002>
%O Recife
%O BR.
%A Sandri, Sandra Aparecida,
%A Godo, L.,
%A Drummond, I.,
%@dissemination WEBSCI; PORTALCAPES.
%@area COMP