Negative Rules and Reduction in Rough Sets Based on Similarity Relation

To derive the negative rules from the incomplete decision information system, the concept of dissimilarity knowledge granule based on similarity relation is firstly proposed.Moreover, the approach to acquire the certain and uncertain negative rules is presented, and heuristic algorithm of the attribute reduction based on the significant attributes is introduced.Finally, an illustrative example is analyzed.These results are meaningful both in the theory and applications for rules' acquisition in incomplete decision systems.