To overcome the disadvantage of ordered assignment reduction based on the discernibility matrix as the time complexity is exponential along with the size of inconstant decision table, a heuristic algorithm based on the significance of condition attributes is proposed.

The k-ordered assignment reduction is defined in inconstant decision tables,which maintains the first k membership orders of the equivalence classes determined by attributes set to the decision classes determined by decision attributes set.

Genetic algorithm for assignment reduction based on the tolerance relation of incomplete information system;

Penalty function is introduced in the adaptive value function to speed up the convergence of the algorithm and ensure that the assignment reduction includes fewer attributes with stronger support.

The algorithm of assignment reduction is obtained,from which a new approach to knowledge redu.

A new static scheduling model based on RT-RAG(reduced task-resource assignment graph) and algorithm are proposed which are more suitable for the grid heterogeneity and support unified scheduling/rescheduling process.

Distribution Reduction in Inconsistent Information Systems Based on Dominance Relations;

An incremental rule acquisition method based on distribution reduction;

Studies on Equivalence of the Distribution Reduction and the Strictly Convex Function Based Reduction in Decision Tables;