Abstract
In this paper, we propose the use of the Similarity Measure (SM) notion in order to build a fuzzy classifier system. Two approaches are proposed, i) exploiting all the database objects, ii) exploiting only representative objects (ROs) extracted from the database. A comparison between this approach and previous ones is presented in the experimental section.