Multi-Criteria Decision Making Approach Based on Extended Rough Set

This paper proposed a multi-criteria decision making approach based on extended rough set. The approach combines both rough set theory (RST) model based on dominance relation and variable precision rough set (VPRS) model, and the minimum confidence of rule acts as the variable parameter in VPRS model. First, a pairwise comparison table (PCT) is constructed from original decision table. Then, decision rules are mined from PCT by decision tree technology according to the combined model. Finally, a score function is defined to sort new alternatives and the optical one is selected. Feasibility of the approach is demonstrated by a simple illustrative example.