Pythagorean fuzzy soft RMS approach to decision making and medical diagnosis
In this paper, we propose the idea of a root-mean-square-threshold or RMS-threshold for the Pythagorean fuzzy soft set (PFSS). In light of this new concept, we characterized the RMS-level soft set in order to provide additional rationale for decision-making using Pythagorean fuzzy soft information....
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Veröffentlicht in: | Afrika mathematica 2022-12, Vol.33 (4), Article 97 |
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Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | In this paper, we propose the idea of a root-mean-square-threshold or RMS-threshold for the Pythagorean fuzzy soft set (PFSS). In light of this new concept, we characterized the RMS-level soft set in order to provide additional rationale for decision-making using Pythagorean fuzzy soft information. Moreover, we propose the concept of a weighted Pythagorean fuzzy soft set (WPFSS) with two-tuple weights and talk about its utility for decision-making issues. We initially stretch out the RMS approach to diagnosing numerous patients with different diseases with WPFSS data. |
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ISSN: | 1012-9405 2190-7668 |
DOI: | 10.1007/s13370-022-01031-7 |