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2012 (Vol. 4, Issue: 22)
Article Information:

A New Method in the Location Problem using Fuzzy Evidential Reasoning

Sh. Rahgan and A. Mirzazadeh
Corresponding Author:  Sh. Rahgan 

Key words:  Bank branches, decision with uncertainties, evidence theory, fuzzy AHP, location, Multiple Attribute Decision Analysis (MADA),
Vol. 4 , (22): 4636-4645
Submitted Accepted Published
March 19, 2012 April 10, 2012 November 15, 2012
Abstract:

One of the most important factors leading to the success of a company is its location. Branches have a strategic importance on an organizationís performance and its competitiveness. The purpose of this study is to present a decision-making model for selecting the most appropriate location for a bank branch. This research is the first study in the bank branch location researches considering various types of uncertainties. This model involves both quantitative and qualitative attributes as well as various types of uncertainty. So, we propose a methodology by integrating the fuzzy AHP and Evidential Reasoning approach. The fuzzy extent analysis is used to determine the weights of attributes and sub-attributes and the interval ER algorithm is used to rank the alternatives. This methodology can be used to help the decision makers, because it is capable of handling incomplete and imprecise judgments. We have demonstrated the applicability of the methodology through a case study.
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  Cite this Reference:
Sh. Rahgan and A. Mirzazadeh, 2012. A New Method in the Location Problem using Fuzzy Evidential Reasoning.  Research Journal of Applied Sciences, Engineering and Technology, 4(22): 4636-4645.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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