Classification methods of association rules with linguistic terms

摘要

A partition of intervals method is adopted in current classification based on associations (CBA), but this method cannot reflect the actual distribution of data and still the problem of sharp boundary exists. In this paper, the classification system based on the longest association rules with linguistic terms is first discussed, and the shortcoming of this classification system is analyzed. Then, the classification system based on the short association rules with linguistic terms is presented. The example shows that the accuracy of the classification system based on the association rules with linguistic terms is better than two popular classification methods: C4.5 and CBA.