This article studies the possible application of fuzzy classification methods that use rule weights in classification of bioinformatics data, in particular, it uses algorithms Fuzzy Rule Learning Model, whose results are compared to those of Fuzzy Unordered Rule Induction Algorithm. To assess the benefits of approach specifics, the experiments were carried out using eleven real bioinformatics data sets provided by University of Ljubljana, Faculty of computer and information science Bioinformatics Laboratory on their home page. The article provides conclusions about the efficacy of rule weight assessment methods and outlines the course of future research.