A combined compromise solution (CoCoSo) method for multi-criteria decision-making problems

Abstract

Purpose

The purpose of this paper is to discuss the advantage of a combinatory methodology presented in this study. The paper suggests that the comparison with results of previously developed methods is in high agreement.

Design/methodology/approach

This paper introduces a combined compromise decision-making algorithm with the aid of some aggregation strategies. The authors have considered a distance measure, which originates from grey relational coefficient and targets to enhance the flexibility of the results. Hence, the weight of the alternatives is placed in the decision-making process with three equations. In the final stage, an aggregated multiplication rule is employed to release the ranking of the alternatives and end the decision process.

Findings

The authors described a real case of choosing logistics and transportation companies in France from a supply chain project. Some comparisons such as sensitivity analysis approach and comparing to other studies and methods provided to validate the performance of the proposed algorithm.

Originality/value

The algorithm has a unique structure among MCDM methods which is presented for the first time in this paper.

Citation

Yazdani, M., Zarate, P., Kazimieras Zavadskas, E. and Turskis, Z. (2019), "A combined compromise solution (CoCoSo) method for multi-criteria decision-making problems", Management Decision, Vol. 57 No. 9, pp. 2501-2519. https://doi.org/10.1108/MD-05-2017-0458