Knowledge discovery for goods classification based on rough set

摘要

A new method based on rough set theory to classify goods is put forward in this paper. Firstly, we set up a decision table of goods classification; secondly we get some certain rules from this decision table and get a new totally disharmonious decision table by deleting the objects, which can be identified by these certain rules; finally, we get the classification rules from the harmonious decision table according to the principle of minimum risk. By applying these rules, we can classify new goods into its specific class, and decide which method we should employ in the management.