An extension approach of TOPSIS method with OWAD operator for multiple criteria decision-making

We propose a new multiple criteria decision-making method by combining the two types of distance aggregation methods: technique for order preference by similarity to ideal solution (TOPSIS) method and ordered weighted average distance (OWAD) operator together. The TOPSIS method measures the distance of alternatives to positive ideal and negative ideal solutions and then chooses the best solution according to the relative closeness. However, it does not consider the decision-maker’s attitude. OWAD operator is a combination of OWA operator and distance measure to express the decision-maker’s attitude. Therefore, we combine TOPSIS and OWAD operator together into a new approach OWAD–TOPSIS method. The influences of weights in OWAD operator on the decision-making results are analyzed. A neat-OWAD operator-based OWAD–TOPSIS method is proposed where the weights dynamically change with the distance values and the preference parameter. Finally, a numerical example is illustrated to demonstrate the proposed approach and the results are analyzed with different parameter values.