Title of paper:
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Circular intuitionistic fuzzy TOPSIS method with vague membership functions: Supplier selection application context
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Author(s):
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Cengiz Kahraman
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Istanbul Technical University, Industrial Engineering Department, 34367, Macka, Besiktas, Istanbul, Turkey
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Nurşah Alkan
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Istanbul Technical University, Industrial Engineering Department, 34367, Macka, Besiktas, Istanbul, Turkey
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Published in:
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Notes on Intuitionistic Fuzzy Sets, Volume 27 (2021), Number 1, pages 24–52
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DOI:
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https://doi.org/10.7546/nifs.2021.27.1.24-52
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Download:
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PDF (2255 Kb, File info)
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Abstract:
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The membership function of a general type-2 fuzzy set is three-dimensional in order to incorporate its vagueness through the third dimension. Similarly, Circular intuitionistic fuzzy sets (CIFSs) have been recently introduced by Atanassov (2020) as a new extension of intuitionistic fuzzy sets, which are represented by a circle representing the vagueness of the membership function. CIFSs allow decision-makers to express their judgments including this vagueness. In this study, the TOPSIS method, which is one of the most used multi-criteria decision-making methods is extended to its CIF version. The proposed CIF-TOPSIS methodology is applied to the supplier selection problem. Then, a sensitivity analysis based on criteria weights is conducted to check the robustness of the proposed approach. A comparative analysis with single-valued intuitionistic fuzzy TOPSIS method is also performed to verify the developed approach and to demonstrate its effectiveness
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Keywords:
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Circular intuitionistic fuzzy sets, Intuitionistic fuzzy sets, MCDM, TOPSIS, Supplier selection.
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AMS Classification:
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03E72
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References:
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