Abstract. Organizations follow survival in competitive business environment to be successful. Their aim is to offer better services to their customers. Whether service organizations or production companies are depended on the improvement and development of their services to increase the profitability in the future. To this purpose, selecting an appropriate business location is one of the most important systematic decision especially in the field of services and its outcomes has long-term effects. This research is conducted to scientifically locate Mehr Eghtesad bank branches. First the bank locating criteria are chosen through literature review, interviewing by experts and considering the available information layers in GIS environment. Best-worst method (MWM) is used to obtain the weight of criteria. These weights are the inputs of ArcGIS software. After entering the data into GIS, locating is done. Then the area which gets the highest priority is determined and its points are considered as candidate points in the marked areas which are the outputs of GIS. These points are considered as the entrance of clustering. They are clustered by Fuzzy C-Means method. Then the cluster that obtains the highest priority is determined by TOPSIS method. The points which are in that cluster is prioritized by COPRAS (COmplex PRoportional ASsessment) method. At the end, the proper places are determined to inaugurate the bank branches.

Keywords: locating, Clustering, bank ، GIS، BWM، Fuzzy C-Means, TOPSIS ، COPRAS