A Multiple Attribute Decision Making Model in the Presence of Grey Numbers

The multiple attribute decision making (MADM) is an important research field in decision science and operations research. Several commonly used method such as the TOPSIS (Technique for order performance by similarity to ideal solution) and RR (Relative Ratio) were proposed to solve the MADM problems. In some cases the data set is incomplete and uncertain and using the classical MADM models is impossible. In these cases employing the grey numbers has been recommended in the literature. In this study we propose RR model based on grey numbers. A real case study is used to show advantages of the proposed model and the results are compared with grey TOPSIS model.