Design and Application of Intelligent Reasoning Module Based on Rough Set

To enhance the ability of intelligent reasoning and decision-making modules of present MIS, an algorithm is proposed which using rough set to reduce sampling data and produce rule library. It is done by giving a knowledge reduction and rule extraction algorithm based on a comprehensive analysis of rough set theory and present algorithms, taking a comprehensive evaluation database of university students as samples to extract rules, designing and accomplishing an intelligent module for MIS. Results of practical examples show that this algorithm can effectively process students sampling data and acquire a lot of useful knowledge rules. These rules can provide powerful decision support for managers, and effectively realize intelligent reasoning in IMIS.