Modelagem Fuzzy Construída Através de Um Processo de Mineração de Dados (Fuzzy Modeling Built Through a Data Mining Process)

Beatriz Wilges (beaw@inf.ufsc.br), Gustavo Pereira Mateus (gpmateus@inf.ufsc.br), Silvia Modesto Nassar (silvia@inf.ufsc.br), Rogério Cid Bastos (rogerio@inf.ufsc.br)


Universidade Federal de Santa Catarina
This paper appears in: Revista IEEE América Latina

Publication Date: March 2012
Volume: 10,   Issue: 2 
ISSN: 1548-0992


Abstract:
This work uses fuzzy logic to identify the learning profile of students in a teaching and learning environment. The purpose of this identification is to lead the student to more appropriate use of the available resources in the environment. The fuzzy modeling has been developed from a process of data mining. The mined data set has several learning profiles of several students. The classification method called Decision Tree (DT) was applied in the mining process, and for the comparison two algorithms were used. The analysis of data from the DT allowed to validate and improve the results of fuzzy modeling. This validation process can be used in the remodeling of the characteristics of any fuzzy system, it is a way to build a more harmonious and consistent model, in this case, the student profile.

Index Terms:
Decision Tree, Fuzzy Modeling, Virtual Teaching Learning Environment.   


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