Analyzing the reasoning mechanisms in fuzzy rule based classification systems.

Cordón, Oscar, Jesús, María José del, and Herrera, Francisco. "Analyzing the reasoning mechanisms in fuzzy rule based classification systems.." Mathware and Soft Computing 5.2-3 (1998): 321-332. <http://eudml.org/doc/39156>.

@article{Cordón1998,
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.},
author = {Cordón, Oscar, Jesús, María José del, Herrera, Francisco},
journal = {Mathware and Soft Computing},
keywords = {Algoritmos de clasificación; Lógica difusa; Teoría de la información; Normativa; fuzzy reasoning; fuzzy rule-based systems; pattern classification},
language = {eng},
number = {2-3},
pages = {321-332},
title = {Analyzing the reasoning mechanisms in fuzzy rule based classification systems.},
url = {http://eudml.org/doc/39156},
volume = {5},
year = {1998},
}

TY - JOUR
AU - Cordón, Oscar
AU - Jesús, María José del
AU - Herrera, Francisco
TI - Analyzing the reasoning mechanisms in fuzzy rule based classification systems.
JO - Mathware and Soft Computing
PY - 1998
VL - 5
IS - 2-3
SP - 321
EP - 332
AB - 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.
LA - eng
KW - Algoritmos de clasificación; Lógica difusa; Teoría de la información; Normativa; fuzzy reasoning; fuzzy rule-based systems; pattern classification
UR - http://eudml.org/doc/39156
ER -