{"title":"A Decision Support Model for Bank Branch Location Selection","authors":"Nihan Cinar","volume":36,"journal":"International Journal of Mathematical and Computational Sciences","pagesStart":1092,"pagesEnd":1098,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/10276","abstract":"Location selection is one of the most important\r\ndecision making process which requires to consider several criteria\r\nbased on the mission and the strategy. This study-s object is to\r\nprovide a decision support model in order to help the bank selecting\r\nthe most appropriate location for a bank-s branch considering a case\r\nstudy in Turkey. The object of the bank is to select the most\r\nappropriate city for opening a branch among six alternatives in the\r\nSouth-Eastern of Turkey. The model in this study was consisted of\r\nfive main criteria which are Demographic, Socio-Economic, Sectoral\r\nEmployment, Banking and Trade Potential and twenty one subcriteria\r\nwhich represent the bank-s mission and strategy. Because of\r\nthe multi-criteria structure of the problem and the fuzziness in the\r\ncomparisons of the criteria, fuzzy AHP is used and for the ranking of\r\nthe alternatives, TOPSIS method is used.","references":"[1] Aya\u2500\u0192, Z., & \u251c\u00fbzdemir, R.G. , \"A fuzzy AHP approach to valuating\r\nmachine tool alternatives,\" Journal of Intelligent Manufacturing ,17,\r\n179-190, 2006.\r\n[2] Benitez, J.M., Martin., J.C., & Roman, C.(2007). \"Using fuzzy\r\nnumber for measuring quality of service in the otel industry\". 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