Reasoning Decision Rules of an Uncertain System

This paper is devoted to some studies in reasoning decision rules of an uncertain information system which is an incomplete or imprecise even ill-defined database. At first, Theoretical aspects of the knowledge redundancy and the knowledge simplification of an uncertain system is discussed based on theoretical aspects of rough sets. A maximal information coverage rate is defined with the acquired data of a decision table in an information system on condition attributes. A criterion of the knowledge simplification and a basic algorithm realization of reasoning decision rules of ail uncertain information system is presented to induce a mathematical model of an uncertain system with the maximum information coverage. The feasibility of the proposed approach of reasoning decision rules is validated by some of examples here.