Path: Top -> Journal -> Jurnal Internasional -> Fuzzy Information and Engineering -> 2021 -> Volume 13, Issue 3
Picture Fuzzy Soft Robust VIKOR Method and its Applications in Decision-Making
Oleh : Muhammad Jabir Khan, Poom Kumam, Wiyada Kumam & Ahmad N. Al-Kenani, Fuzzy Information and Engineering
Dibuat : 2022-02-16, dengan 0 file
Keyword : VIKOR method, picture fuzzy soft set, distance measures, similarity measures, multi-attribute decision-making
Url : http://www.tandfonline.com/doi/full/10.1080/16168658.2021.1939632
Sumber pengambilan dokumen : web
This paper introduces the Euclidean, Hamming, and the generalized distance measures for picture fuzzy soft sets and discusses their properties. The numerical examples of decision-making and pattern recognition are focused. We also develop a robust VIKOR method for PFSSs. The relative and precise ideal picture fuzzy values (PFVs), robust factors and ranking indexes are defined. Different algorithmic procedures of robust VIKOR based on the relative and precise ideal PFVs, relative and precise robust factor, precise and picture fuzzy weights and relative and precise ranking indexes are proposed. In the end, the investment problem is solved by using the proposed method.
Deskripsi Alternatif :This paper introduces the Euclidean, Hamming, and the generalized distance measures for picture fuzzy soft sets and discusses their properties. The numerical examples of decision-making and pattern recognition are focused. We also develop a robust VIKOR method for PFSSs. The relative and precise ideal picture fuzzy values (PFVs), robust factors and ranking indexes are defined. Different algorithmic procedures of robust VIKOR based on the relative and precise ideal PFVs, relative and precise robust factor, precise and picture fuzzy weights and relative and precise ranking indexes are proposed. In the end, the investment problem is solved by using the proposed method.
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