Fuzzy Association Rule Mining with Type-2 Membership Functions

Author:

Chen Chun-Hao,Hong Tzung-Pei,Li Yu

Publisher

Springer International Publishing

Reference22 articles.

1. Agrawal, R., Srikant, R.: Fast algorithms for mining association rules.In: International Conference on Very Large Data Bases, pp. 487–499 (1994)

2. Au, W.H., Chan, K.C.C.: Mining fuzzy association rules in a bank-account database. IEEE Transactions on Fuzzy Systems 11(2), 238–248 (2003)

3. Chan, K.C.C., Au, W.H.: An Effective Algorithm for Discovering Fuzzy Rules in Relational Databases. The IEEE International Conference on Fuzzy Systems 2, 1314–1319 (1998)

4. Castillo, O., Melin, P., Pedrycz, W.: “Design of interval type-2 fuzzy models through optimal granularity allocation. Applied Soft Computing 11(8), 5590–5601 (2011)

5. Chiu, H.P., Tang, Y.T., Hsieh, K.L.: Applying cluster-based fuzzy association rules mining framework into EC environment. Applied Soft Computing 12(8), 2114–2122 (2012)

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