## A feature construction approach for genetic iterative rule learning algorithm

- David García, Antonio González Muñoz, Raúl Pérez
- J. Comput. Syst. Sci.
- 2014

@article{Garca2011ATA, title={A two-step approach of feature construction for a genetic learning algorithm}, author={David Garc{\'i}a and Antonio Gonz{\'a}lez Mu{\~n}oz and Ra{\'u}l P{\'e}rez}, journal={2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011)}, year={2011}, pages={1255-1262} }

- Published 2011 in 2011 IEEE International Conference on Fuzzy…
DOI:10.1109/FUZZY.2011.6007576

Traditionally, fuzzy rule based models work with a fixed set of features to describe a particular problem. Our proposal is to use feature construction by means of functions in order to obtain new variables that allow us to get more information about the problem. In particular, we propose the use of previously defined functions over the input variables in the antecedent of the rules. This let us to know if a combination of variables is able to provide us with more information than each one of… CONTINUE READING