Locate Automated Teller Machines in Mehr Iran Bank by Using a Combination of Multi-Criteria Decision-Making Techniques in Fuzzy Environment

Subject Areas : Industrial Management

Mehdi Ebrahimi Nejhad Rafsanjani ¹ , Seyed Mohammad Moosavi Nadooshan ² , Marjan Tavasoli Fard ³

1 - Associate Professor, Faculty of Management and Economics, Shahid Bahonar University of Kerman, Iran
2 - M.A., Faculty of Management and Economics, Shahid Bahonar University of Kerman, Iran
3 - M.A., Faculty of Management and Economics, Shahid Bahonar University of Kerman, Iran

Received: 2016-05-25 Accepted : 2017-04-17 Published : 2017-05-22

Keywords:

Abstract :

In the recent years, using information technology in Iran industries, mostly in banking, has been increased. Selecting the best site location for Automated Teller Machines (ATM) is also an important Subject for the banking industry. Site locating Sciences have always been searching for new optimization methods to find the best location of their case studies. Using Multi-Criteria Decision-Making methods can be expected that the candidate places satisfy the criteria by their weight ratio. Also, the use of fuzzy logic in decision making has been solved the problem of uncertainty and imprecision in assigning the weight of the criteria. So, the applied research study has been using a combined approach of MCDM in a fuzzy environment to provide a new method in Gharzolhasane Mehr Iran Bank ATMs site locating. Regarding the high costs of locating ATMs, the purpose of this study is to provide a method for selecting the best range of these devices Location to increase efficiency and services. Based on the similar studies, a decision criterion was extracted and weighted with FPM Procedure by using QMB and Banking industry expert’s opinions. Then the Location candidates points were ranked by Fuzzy Graph theory and matrix approach method.

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