Sensitivity Study of TOPSIS and COPRAS Methods with Respect to Normalization Techniques

Abstract

In the most MADM (Multiple Attribute Decision Making) methods the attribute values are provided to transform into one dimension. This restructuring is carried out in accordance with appropriate normalization techniques. It has been observed that some of MADM methods are used for different normalization techniques. In practical calculations it was noted, that using different normalization techniques in the same MADM method, different alternative priority lines, with the same data, are produced. Research object of this paper is the group of the normalization techniques that are used in the multiple attribute decision making methods of TOPSIS and COPRAS. The aim of this paper is to analyze the normalization techniques influence the ranking of alternatives and to find out which mentioned multiple attributes decision making method is sensitive with respect to the normalization techniques.