Rule inducing by fuzzy lattice reasoning classifier based on metric distances (FLRC-MD)
In this work, we develop a fuzzy lattice reasoning classifier using various metric distances. As a consequence, the new algorithm named FLRC-MD shows better classification results and more generalization. Also, the proposed method generates fewer induced rules. A comprehensive experimental results is performed to assess the effectiveness of the proposed model, results obtained confirm the effectiveness of the proposed method.
rule inducing classifier design lattice theory distance metric flr