A Group Multiattributes Classification Approach Based on Variable Precision Rough Sets

摘要

Multiattribute classification, which assigning alternatives into predefined category, is a problem of major practical and research interest. In this paper, we study a new group multiattributes classification approach based on variable precision rough sets. This approach can control the admissible level of classification error in each table, the ratio of supporting decision tables to all decision tables and the ratio of opposing decision tables to all decision tables. Finally, an example is given to (demodulate) the feasibility and availability of the approach.