TY  - GEN 
AU  - Derrac, Joaquín
AU  - Herrera Triguero, Francisco
PY  - 2011
UR  - https://hdl.handle.net/10481/77930
AB  - In recent years, the increasing interest in fuzzy rough set
theory has allowed the definition of novel accurate methods for feature
selection. Although their stand-alone application can lead to the construction
of high quality classifiers, they can...
LA  - eng
PB  - Springer
KW  - Fuzzy Rough Sets
KW  - Evolutionary algorithms
KW  - Instance selection
KW  - Feature selection
KW  - Nearest Neighbor Classifier
KW  - Inteligencia artificial
KW  - Artificial intelligence
TI  - A Preliminary Study on the Use of Fuzzy Rough Set Based Feature Selection for Improving Evolutionary Instance Selection Algorithms
ER  -