A multiple criteria decision model addressing the comparison of both subjective and objective-evaluation results is proposed. Firstly, based on the cluster analysis, a method for selecting representative sample data set from all alternatives under evaluation is designed. Next, experts are invited to review these sample data and the dominance-based rough set theory is used to analyze expert decisions, thus formatting a set of decision rules. Then, these trained decision rules are applied to all alternatives, and hence an objective-oriented result can be obtained and compared with the alternatives’ self-evaluation results which contain subjective orientation. Finally, the method is used to analyze the leaning ability of graduate to demonstrate its feasibility.