Comparative study of fuzzy methods in breast cancer diagnosis
Juan Jaime Fuentes Uriarte, Mário Garcia, Oscar Castillo · 2008
This paper describes a comparison of results in breast cancer diagnosis, using two fuzzy logic methods; the first case uses fuzzy clustering with the fuzzy c-means (FCM) algorithm, which tries to find similarities between different variables; the second method is an implementation of a fuzzy inference system (FIS) with a genetic algorithm (GA) for creating and activating the optimal rules.