A direct interval extension of TOPSIS method

摘要: The TOPSIS method is a technique for order preference by similarity to ideal solution. This currently one of the most popular methods Multiple Criteria Decision Making (MCDM). was primary developed dealing with only real-valued data. In many cases, it hard present precisely exact ratings alternatives respect local criteria and as result these are considered intervals. There some papers devoted interval extensions method, but based on different heuristic approaches definition positive negative solutions. These solutions presented real values or intervals, which not attainable in decision matrix. Since this contradiction basics classical paper we propose new direct approach extension free assumptions limitations known methods. Using numerical examples show that ''direct method'' may provide final ranking substantially from results obtained using