Semantics Properties of Association Rules Based on Intuitionistic Fuzzy Special Sets

Zheng Pei.

One of the core tasks of Knowledge Discovery in Databases (KDD) is the mining of association rules. In this paper, truth values of association rules are discussed. Firstly, two knowledge bases of association rules are fixed, i.e., information system A and a fixed association rule (it’s confidence is 1), then based on Intuitionistic fuzzy special sets (IFSS) Representation of Rough Set, IFSS representations of association rules (also called statements) are discussed based on the two knowledge bases. Finally, based on Hamming distance of IFSS, truth values of statements are obtained.

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