Information systems are classified into two classes, namely complete information systems and incomplete information systems. A unified description has been proposed through the concrete analysis of information systems. And based on this conclusion, a new method of decision making has been presented. The theoretical basis of the method is non-optimum theory, and thereby the non- optimum theory is further perfect by introduced the concepts of middle-optimum degree and unknown-optimum degree. Then the entropy of information systems is defined. Meanwhile, the concept of influence degree has also introduced. Finally, it discusses about three decision making principles, namely maximum influence degree principle, minimum risk principle and maximum risk principle.
['Lihua Duan', 'Ping He']
Non-optimum Analysis Approach to Incomplete Information Systems