PROCEEDINGS IPMU '08
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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