Classification Approach Based on Rough Mereology

摘要: This article presents a classification approach based on granular computing combined with rough set. The proposed used the theory of mereology and fuzzification in order to classify input datasets into sets optimized granules. was applied five UC Irvine Machine Learning Repository. Abalone dataset that consists 4177 objects eight attributes selected as an illustrative example. Empirically obtained experimental results demonstrated better performance compared other experienced approaches.