FuGePSD: Fuzzy Genetic Programming-based algorithm for Subgroup Discovery

Abstract

Evolutionary Fuzzy Systems (EFSs) are fuzzy systems augmented by a learning process based on evolutionary computation such as evolutionary algorithms (EAs). These systems contribute with several advantages in the development of algorithms, and specifically in the development of subgroup discovery (SD) approaches. SD is a descriptive data mining technique using supervised learning in order to describe data with respect to a property of interest. This paper present the main features of the FuGePSD algorithm, an EFS based on genetic programming and fuzzy logic. An experimental study with a wide number of datasets shows the quality of this algorithm with respect to the remaining EFSs for SD presented throughout the literature.