Knowledge reduction approaches of incomplete information systems based on decisions information entropy

In order to solve the knowledge reduction of incomplete information systems effectively,and get a better set of decision rules,by studying decision entropy based on tolerance relation can reflect the ability of decisions of decision rule objectively in incomplete information systems,knowledge Reduction approaches of incomplete information systems based on decision entropy is presented.The method is based on the idea of the decision entropy,and consider the decision rule credibility and object coverage,and introduce a tolerance relation simultaneously.The importance of the attributes properties of decision entropy as is used heuristic information for knowledge reduction,and a set of decision rules are gotten ultimately.The simulation results show that the algorithm prove the feasibility of the proposed algorithm.