Ordered Fuzzy Decision Trees induction based on Cumulative Information Estimates and its application
Jan Rabčan · 2016
One of the important problems in Decision Making Support Systems is recognition (classification) of a new sample according to the previous knowledge. There are a lot of methods and approaches for solving this problem. Classification Rules that can be constructed based on Decision Trees or Fuzzy Decision Trees (FDT) are one of them. In this paper, an algorithm for FDT induction based on Cumulative Information Estimates is considered. The proposed algorithm is evaluated by well-known benchmarks. Non-typical application of this algorithm for handwriting analysis (graphology) is considered in this paper too. This application is attractive for students and they are ready to study different methods of Data Mining based on investigation of graphological analysis.