A Modified Balanced Scorecard Based Hybrid Pythagorean Fuzzy AHP-Topsis Methodology for ATM Site Selection Problem

Aslihan Yildiz (), Ertugrul Ayyildiz (), Alev Taskin Gumus () and Coskun Ozkan ()
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Aslihan Yildiz: Department of Industrial Engineering, Yıldız Technical University, Yıldız Campus, 34349, İstanbul, Turkey
Ertugrul Ayyildiz: Department of Industrial Engineering, Yıldız Technical University, Yıldız Campus, 34349, İstanbul, Turkey
Alev Taskin Gumus: Department of Industrial Engineering, Yıldız Technical University, Yıldız Campus, 34349, İstanbul, Turkey
Coskun Ozkan: Department of Industrial Engineering, Yıldız Technical University, Yıldız Campus, 34349, İstanbul, Turkey

International Journal of Information Technology & Decision Making (IJITDM), 2020, vol. 19, issue 02, 365-384

Abstract: Researchers work on facility location problems in different structures and solve them by developing different models over the years. In this study, we focus on the automated teller machine (ATM) site selection problem for a public bank in İstanbul. Twenty-five districts, which are located at the European side of İstanbul, are designated as ATM candidate districts. The balanced scorecard (BSC) model is modified to determine the criteria according to the literature review and experts’ judgments for this problem. Internal, Customer, and Financial perspectives of the traditional BSC model are used as the main criteria and an external perspective is considered as the fourth criterion for modified balanced scorecard. The experts’ criteria evaluations are gained and consolidated by the Modified Delphi Method. The criteria weights are determined by the Pythagorean Fuzzy-AHP method using the final pairwise comparison results obtained from the Modified Delphi Method. Subsequently, the Pythagorean Fuzzy TOPSIS method is applied to determine the best alternative site among alternatives to locate the ATM according to these criteria. Finally, the results are presented and discussed by sensitivity analysis.

Keywords: ATM; pythagorean fuzzy-AHP; pythagorean fuzzy TOPSIS (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (3)

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DOI: 10.1142/S0219622020500017

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