selection of bank branches location based on rough set theory – multi choice goal programming
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abstract
location selection is one of the most important activities in establishment of bank branches. choosing a suitable location have a direct impact on the performance of banks and also facilitating the achievement of other objectives. there are a lot of influential factors on the location selection which are complicated and therefore the traditional methods cannot be used. so we need to have a suitable model that whereby we can find the proper location for bank branches. the purpose of this research is identifying the important criteria in locating bank branches and selection of appropriate location for established new branches of sepah bank. this study is an applied research. the method used to analyze is rough set theory and multi choice goal programming. initially, important criteria was determined using literature and experts opinion , then criteria priority were achieved using rst , then, the candidate locations information were collected and a fuzzy membership function was created and a multi choice goal programming model was developed using the membership functions output and criteria priority. the goal programming model was solved by lingo software and determined the best place to establish new branches. the combination of rough set theory and multi choice goal programming for the first time has been used in this research.
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Journal title:
پژوهش های نوین در تصمیم گیریجلد ۲، شماره ۱، صفحات ۱۱۹-۱۴۸
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