Induction of fuzzy classification rules with an artificial immune system

Fuzzy systems were designed to compute with uncertainties and linguistic information and allow us to develop mathematical tools for information processing. Artificial immune systems (AIS) consist of methods inspired by the biological immune system and designed for solving real-world problems. This work integrates these two kinds of systems, proposing a novel AIS for discovering fuzzy classification rules from data. The results of the proposed algorithm are compared with the results of C4.5Rules, a very popular algorithm for discovering classification rules.

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