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Discovering fuzzy classification rules with genetic programming and co-evolution

Mendes, R.R.F. and Voznika, F.B. and Freitas, Alex A. and Nievola, Julio C. (2001) Discovering fuzzy classification rules with genetic programming and co-evolution. In: Principles of Data Mining and Knowledge Discovery 5th European Conference. Lecture Notes in Computer Science . Springer, Berlin, Germany, pp. 314-325. ISBN 978-3-540-42534-2. E-ISBN 978-3-540-44794-8. (doi:10.1007/3-540-44794-6_26) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:13494)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.1007/3-540-44794-6_26

Abstract

In essence, data mining consists of extracting knowledge from data. This paper proposes a co-evolutionary system for discovering fuzzy classification rules. The system uses two evolutionary algorithms: a genetic programming (GP) algorithm evolving a population of fuzzy rule sets and a simple evolutionary algorithm evolving a population of membership function definitions. The two populations co-evolve, so that the final result of the co-evolutionary process is a fuzzy rule set and a set of membership function definitions which are well adapted to each other. In addition, our system also has some innovative ideas with respect to the encoding of GP individuals representing rule sets. The basic idea is that our individual encoding scheme incorporates several syntactical restrictions that facilitate the handling of rule sets in disjunctive normal form. We have also adapted GP operators to better work with the proposed individual encoding scheme.

Item Type: Book section
DOI/Identification number: 10.1007/3-540-44794-6_26
Uncontrolled keywords: Membership Function; Genetic Programming; Fuzzy Rule; Membership Degree; Disjunctive Normal Form
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Mark Wheadon
Date Deposited: 24 Nov 2008 17:58 UTC
Last Modified: 16 Feb 2021 12:23 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/13494 (The current URI for this page, for reference purposes)
Freitas, Alex A.: https://orcid.org/0000-0001-9825-4700
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