Internet Addiction Diagnostic Decision-Making Based on Attribute Reduction of Rough Set Theories

Abstract

The method of attribute reduction based on rough set theory is applied to the internet addiction diagnostic decision-making to improve the comprehensive performance of the decision-making. This paper briefly introduces the basic concepts of rough set theory and the method of attribute reduction, on which analyses the application of internet addiction diagnostic decision-making. The mentioned method which is applied to the internet addiction diagnostic decision-making, and which greatly enhanced the ability of knowledge acquisition and decision-making, of finding extraordinary events and predicting the trend of future, provided scientific and reliable basises for medical diagnostic decision-making.