Lp - Association Rules mining based on rough concept lattice

Rough concept lattice (RCL) is a new concept lattice, which can deal with uncertainty knowledge. It is an effective tool for data analysis and knowledge discovery. But some objects that in upper approximation extent of RCL are so uncertainty that makes the accuracy of association rules reduced. In this case, based on decision context, we construct a L- plumpness concept lattice ( Lp - RCL ), in whose upper approximation extent objects at least satisfy L attributes in order to improve the efficiency of extraction rules. And we get the algorithm for Lp - Association Rules.