The purpose of this paper is to present a new public bread factory location selection for Istanbul Metropolitan Municipality (IMM).
A two-stage methodology is proposed to determine the location for the public bread factory facility. This framework is based on both geographic information systems (GIS) and multi-criteria decision-making (MCDM) techniques. The first stage of the methodology aims to decrease the number of possible alternative locations to simplify the selection activity by applying GIS; the second stage utilises interval type-2 fuzzy MCDM approach to exactly determine the public bread factory site location.
In this study, the authors present weighted normalised-based interval type-2 hesitant fuzzy and interval type-2 hesitant fuzzy sets (IT2HFSs)-based compressed proportional assessment (COPRAS) methods to overcome facility location selection problem for a fourth public bread factory in Istanbul.
The results show that the proposed approach is practical and can be employed by the bakery industry.
In this study, the authors present a two-stage methodology for public bread factory site selection. In the first stage, the number of alternatives is reduced by the GIS. In the second stage, an interval type-2 fuzzy set is implemented for the evaluation of public bakery factory site alternatives. A new integrated approach based on COPRAS method and weighted normalised with IT2HFSs is proposed.
The authors would like to thank Dr Çağatay Kalkancı from Istanbul Metropolitan Municipality for useful discussion and feedback.
Deveci, M., Akyurt, I.Z. and Yavuz, S. (2018), "A GIS-based interval type-2 fuzzy set for public bread factory site selection", Journal of Enterprise Information Management, Vol. 31 No. 6, pp. 820-847. https://doi.org/10.1108/JEIM-02-2018-0029Download as .RIS
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