Skip to Main Content
A kind of knowledge acquisition approach in decision-making system based on rough sets theory is proposed. In this paper the basic concepts and characters of rough sets is firstly overviewed. Then with decision attribute importance applied in decision-making system,the degree of dependency supplied by decision-making attribute for the condition attribute is described and the degree of attribute importance was obtained to calculate attribute core. Secondly, let relative reduction of attribute as heuristic information, a new attribute reduction algorithm of decision table is proposed. Thirdly, according to the reduced decision table, the attribute value reduction algorithm based on core value is designed and then with these algorithm steps, corresponding decision rules are extracted from original decision data sets. Finally, through analyzing an example, the practical results show that the approach is effective in solving knowledge acquisition.