Generalized Association Rule and Orexis Degree

Through import generalized fuzzy sets in data mining, use generalized fuzzy sets, support and confidence of association rules, put forward the concept left support, right support and orexis degree, give generalized association rules, improve Apriori algorithm, and then under generalized association rules orexis-based, not only can able to mine positive true association rules, but also negative false association rules, and then association rules and Apriori algorithm are the same with area and purpose widely.