Abstract
Although new techniques are added to multicriteria decision-making (MCDM) techniques every day, fuzzy applications of current and proven methods also take a large place in the literature. The main subject of this study is to propose an extension of Pythagorean fuzzy sets (PFS), which are useful to overcome the uncertainty in multi-criteria decision processes, to the well-known Analytical Network Process (ANP) technique. For this purpose, an empirical application of the proposed method was carried out in defining criteria weights of the warehouse location selection problem in the medical sector.
Cite
CITATION STYLE
Yaman, T. T. (2020). Pythagorean Fuzzy Analytical Network Process (ANP) and Its Application to Warehouse Location Selection Problem. In Proceedings of the 2020 Federated Conference on Computer Science and Information Systems, FedCSIS 2020 (pp. 137–140). Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.15439/2020F187
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