Granular computing for inconsistent decision table

Abstract

This paper defines some basic concepts. Then, this paper introduces how to convert any decision table into certain granular graph. We give visual presentation of decision table. Some relevant knowledge of graph theory is applied to granular graph and its computing for the inconsistent decision table. It is feasible and effective when granular graph is applied in describing data reduction of inconsistent decision tables. The method is simple and has visual characteristics. The paper mainly proposes a visual method for the inconsistent decision tables and describes its data reduction procedure.