TY  - JOUR 
AU  - Galende Hernández, Marta
AU  - Sáinz Palmero, Gregorio Ismael
AU  - Fuente Aparicio, María Jesús de la
PY  - 2012
SN  - 1432-7643
UR  - https://uvadoc.uva.es/handle/10324/74370
AB  - The aim of this paper is to develop a general post-processing methodology to reduce the complexity of data-driven linguistic fuzzy models, in order to reach simpler fuzzy models preserving enough accuracy and better fuzzy linguistic performance with...
LA  - eng
PB  - Springer Nature
KW  - Fuzzy modeling
KW  - Accuracy
KW  - Interpretability
KW  - Complexity
KW  - Genetic algorithms
TI  - Complexity reduction and interpretability improvement for fuzzy rule systems based on simple interpretability measures and indices by bi-objective evolutionary rule selection
DO  - 10.1007/S00500-011-0748-6
ER  -