An algorithm: Filling the missing values in the incomplete decision table
Mingfen Wu, Tingliang Wang · 2008
This paper proposes a new algorithm for filling the missing values in the incomplete decision table based on extended models of rough sets theory with respect to limited tolerance relation. The algorithm can have the consistence of completed decision table by way of computing the similar degree between objects and limited tolerance relation. It is improvement of ROUSTIDA algorithm, and the experiment shows the new algorithm is more efficient and universally applicable.