Abstract
Multi-criteria decision making problems are well-known problems. This paper mainly investigates a particular type of multi-criteria aggregation imperative called prioritized aggregation. We first introduce the concepts of measure, additive measure and Choquet integral. Then, we propose a prioritized measure-guided aggregation operator based on the ordered weighted averaging (OWA) operator and Choquet integral. We develop the maximin disparity method to get the quantity of each priority hierarchy in the prioritized measure. Besides, we introduce the decision maker's benchmark into the prioritized measure. Finally, we illustrate the effectiveness of the proposed prioritized aggregation operator through two numerical examples and compare them with previous operators.