参考文献/References:
[1] Agrawal R, Srikant R. Fast algorithm for mining association rules in large database[C]∥. Proceeding of 20th International Conference on Very Large Databases. Santiago:[s.n.],1994:478-499.
[2] Park J S, Chen M S, Yu P S. An effective hash based algorithm for mining association rules[C]∥. Proceeding of the 1995 ACM SIGMOD International Conference on Management of Data. San Jose: ACM Press,1995:175-186.
[3] Brin S,Motwani R, Ullman J D, et al. Dynamic itemset counting and implication rules for market basket data[C]∥. ACM SIGMOD International Conference on Management of Data. New York: ACM Press,1997:255-264.
[4] Han J, Pei J, Yin Y. Mining frequent patterns without candidate generation[C]∥. Proceeding 2000 ACM SIGMOD International Conference Management of Data. Dallas: ACM Press,2000:1-12.
[5] Zadeh L A. Fuzzy sets[J].Information and Control,1965,8(3):338-353.
[6] Zadeh L A. The concept of a linguistic variable and its application to approximate reasoning-Ⅰ[J].Information and Science,1975,8(3):199-249.
[7] Zadeh L A. The concept of a linguistic variable and its application to approximate reasoning-Ⅱ[J].Information and Science,1975,8(4):301-357.
[8] Zadeh L A. The concept of a linguistic variable and its application to approximate reasoning Ⅲ[J].Information and Science,1976,9(1):43-80.
[9] Han J W, Fu Y J. Discovery of multiple-level association rules from large database [C]. In Proceedings of International Conference on Very Large Data Bases. Zurich, 1995: 420-431.
[10] Hong T P, Lin K Y, Chien B C. Mining fuzzy multiple-level association rules from quantitative data[J].Applied Intelligence,2003,18(1):79-90.
[11] Hu Y C. Mining association rules at a concept hierarchy using fuzzy partition [J]. Journal of Information Management,2006,13(3):63-80.
[12] Pedrycz W. Triangular membership functions[J].Fuzzy Sets and Systems,1994,64(1):21-30.
[13] Hong T P, Chen C H, Lee Y C, et al. Genetic-fuzzy data mining with divide-and-conquer strategy[J].IEEE Transactions on Evolutionary Computation,2008,12(2):252-265.