Ranking Bank Branches with Interval Data By IAHP and TOPSIS

Subject Areas : International Journal of Information, Security and Systems Management

Tayebeh Rezaeitaziania ¹ , Mahnaz Barkhordariahmadi ²

1 - Department of Mathematics, Islamic Azad University, Bandar Abbas Branch, Bandar Abbas, Iran
2 - Department of Mathematics, Islamic Azad University, Bandar Abbas Branch, Bandar Abbas, Iran

Received: 2015-08-30 Accepted : 2015-08-30 Published : 2015-02-01

Keywords: TOPSIS, Ranking, Monte Carlo simulation, Interval analytic hierarchy process,

Abstract :

This paper proposes a method for ranking decision making units (DMUs) using some of the multiple criteria decision making / multiple attribute decision making (MCDM /MADM) techniques, namely, interval analytic hierarchy process (IAHP) and the technique for order preference by similarity to an ideal solution (TOPSIS). Since the efficiency score of unity is assigned to the efficient units, we determine the efficient units by standard DEA models, and calculate the weights of the criteria using IAHP. It should be mentioned that the judgments are made crisp in the interval pairwise comparison matrix by the Monte Carlo simulation. In the end, we utilize TOPSIS using IAHP to rank bank branches in Iran