Relevance and redundancy in fuzzy classification systems.

Del Amo, Ana, et al. "Relevance and redundancy in fuzzy classification systems.." Mathware and Soft Computing 8.3 (2001): 203-216. <http://eudml.org/doc/39222>.

@article{DelAmo2001,
abstract = {Fuzzy classification systems is defined in this paper as an aggregative model, in such a way that Ruspini classical definition of fuzzy partition appears as a particular case. Once a basic recursive model has been accepted, we then propose to analyze relevance and redundancy in order to allow the possibility of learning from previous experiences. All these concepts are applied to a real picture, showing that our approach allows to check quality of such a classification system.},
author = {Del Amo, Ana, Gómez, Daniel, Montero, Javier, Biging, Gregory S.},
journal = {Mathware and Soft Computing},
keywords = {Lógica difusa; Algoritmos de clasificación; fuzzy classification systems},
language = {eng},
number = {3},
pages = {203-216},
title = {Relevance and redundancy in fuzzy classification systems.},
url = {http://eudml.org/doc/39222},
volume = {8},
year = {2001},
}

TY - JOUR
AU - Del Amo, Ana
AU - Gómez, Daniel
AU - Montero, Javier
AU - Biging, Gregory S.
TI - Relevance and redundancy in fuzzy classification systems.
JO - Mathware and Soft Computing
PY - 2001
VL - 8
IS - 3
SP - 203
EP - 216
AB - Fuzzy classification systems is defined in this paper as an aggregative model, in such a way that Ruspini classical definition of fuzzy partition appears as a particular case. Once a basic recursive model has been accepted, we then propose to analyze relevance and redundancy in order to allow the possibility of learning from previous experiences. All these concepts are applied to a real picture, showing that our approach allows to check quality of such a classification system.
LA - eng
KW - Lógica difusa; Algoritmos de clasificación; fuzzy classification systems
UR - http://eudml.org/doc/39222
ER -