However, studies related to the construction of the set MF for extracting association rules are still very few, the majority of articles related to this issue under the direction of automatic classification or regression [10,11, 12,13]. In addition, the use of L.Zadeh fuzzy set theory, although bringing flexibility in approach, there are still a certain number of limitations. In this paper we propose the approach of algebras to build MF with orientation training for association rule extracted in step sau.Tinh advantages of the method proposed Vietnam will be demonstrated in analysis of experimental results on standard data on the US courts
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