A Comparative Analysis of Fuzzy TOPSIS and Geographic Information Systems (GIS) for the Location Selection of Shopping Malls: A Case Study from Turkey

Ceren Erdin and Halil Emre Akbaş
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Ceren Erdin: Department of Business Administration, Faculty of Economics and Administrative Sciences, Yildiz Technical University, 34210 Istanbul, Turkey
Halil Emre Akbaş: Department of Business Administration, Faculty of Economics and Administrative Sciences, Yildiz Technical University, 34210 Istanbul, Turkey

Sustainability, 2019, vol. 11, issue 14, 1-22

Abstract: Multi-criteria decision-making (MCDM) techniques are increasingly being used for the problem of location selection, which directly affects the long-term success of a company. Besides these techniques, with the advantage of handling both spatial and non-spatial data, geographic information systems (GIS) also represent a useful method for selecting the appropriate location for different kinds of facilities and sites. In this respect, this study aims to compare the results of a MCDM technique, fuzzy technique for order preference by similarity to ideal solution (TOPSIS), and GIS for the location selection of shopping malls in Turkey. According to the results of both fuzzy TOPSIS and GIS, the Marmara region was determined as the best alternative for shopping malls in Turkey.

Keywords: GIS; fuzzy TOPSIS; location selection (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

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