00000cab a22000003a 4500 UP-99796217609532557 Buklod 20231007234346.0 m |o d | ta 101104s xx d | ||r ||||| || DENGII eng Pena-Reyes, C.A. Fuzzy CoCo a cooperative-coevolutionary approach to fuzzy modeling. pp. 727-737 Co-evolutionary algorithms have received increased attention in the past few years within the domain of evolutionary computation. In this paper, we combine the search power of co-evolutionary computation with the expressive power of fuzzy systems, and introduce a novel algorithm, called Fuzzy CoCo (fuzzy cooperative coevolution). We demonstrate the efficacy of Fuzzy CoCo by applying it to a hard, real-world problem - breast cancer diagnosis, obtaining the best results to date while expending less computational effort than previous processes. Analyzing our results, we derive guidelines for setting the algorithm parameters given a (hard) problem to solve. We hope Fuzzy CoCo proves to be a powerful tool in the fuzzy modeler toolkit Fuzzy CoCo. Breast cancer diagnosis. Cooperative coevolution. Fuzzy inference system. Fuzzy modeling. Fuzzy set theory. IEEE Transactions on fuzzy systems 9, 5 (2001). FO UPD DENG-II Article