Analyzing the reasoning mechanisms in fuzzy rule based classification systems
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Inclou dades d'ús des de 2022
Cita com:
hdl:2099/3534
Tipus de documentArticle
Data publicació1998
EditorUniversitat Politècnica de Catalunya. Secció de Matemàtiques i Informàtica
Condicions d'accésAccés obert
Llevat que s'hi indiqui el contrari, els
continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
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Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
Fuzzy Rule-Based Systems have been succesfully applied to pattern classification problems. In this type of classification systems, the classical Fuzzy Reasoning Method classifies a new example with the consequent of the rule with the greatest degree of association. By using this reasoning method, we do not consider
the information provided by the other rules that are also compatible (have also been fired) with this example.
In this paper we analyze this problem and propose to use FRMs that combine the different rules that have been fired by a pattern. We describe the behaviour of a general reasoning method and analyze two kinds of models, the first one using
all the fired rules and the second one using partial information due to the fact that the rules with a lower association degree are not considered.
ISSN1134-5632
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