Rodríguez González, Juan TinguaroLópez, VictoriaMontero De Juan, Francisco JavierVitoriano Villanueva, BegoñaBurillo, P.Bustince, H.De Baets, B.Fodor, J.2023-06-202023-06-202009978-84-9769-242-7https://hdl.handle.net/20.500.14352/53453EuroFuse Workshop, September 16-18, 2009, PamplonaExtraction of rules for classification and decision tasks from databases is an issue of growing importance as automated processes based on data are being required in these fields. Interpretability of rules is improved by defining classes for independent variables. Moreover, though more complex, a more realistic and flexible framework is attained when fuzzy classes are considered. In this paper, an inductive approach is taken in order to develop a general methodology for building fuzzy rules from databases. Three types of rules are built in order to be able of dealing with both categorical and numerical data.engbook partopen access510.64Rules inductionFuzzy classificationData MiningDecision Support SystemsLógica simbólica y matemática (Matemáticas)1102.14 Lógica Simbólica