An Approach to Mining Association Rules Using Soft Truth Degree

Based on soft set and logical formula, this paper presents a new approach to mining association rules. The soft truth degree was introduced into the mining of soft set data association rules. The quantitative relationship between attributes was described using soft truth degree. The relation between soft truth degree and support degree was analyzed. A mining algorithm of soft association rules is proposed to satisfy a given support degree and confidence threshold. The example analysis results show that this method can reduce the redundancyand improve the efficiency.