Linguistic multi-attribute group decision-making method based on similarity measurement of cloud model

Abstract

As for the defects of the existing cloud similarity, a novel similarity measurement approach based on the location and shape similarity is proposed and applied to linguistic multi-attribute group decision-making in this paper. Firstly, the framework of integrated similarity measurement of cloud model is established by combining the location and shape similarity. The advantages of the new method are analyzed on comparison with other methods. Then by converting the linguistic information to cloud model, the proposed similarity measurement is used to linguistic multi-attribute group decision-making problem. And an improved TOPSIS method is proposed. Finally, the feasibility and effectiveness of the proposed method are verified by numerical example and comparative analysis.