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• W2913509214 abstract "For multiple-attribute decision making problems in Pythagorean fuzzy environment, few existing aggregation operators consider interrelationships among the attributes. To deal with this issue, this article extends the Bonferroni means to Pythagorean fuzzy sets (PFSs) to provide Pythagorean Fuzzy Bonferroni means. We first extend t-norm and its dual t-conorm to propose the generalized operational laws for PFSs, which can be considered as the extensions of the known ones. Based on these new laws, Pythagorean fuzzy weighted Bonferroni mean operator and Pythagorean fuzzy weighted geometric Bonferroni mean operator are developed, both of them can capture the correlations among Pythagorean fuzzy input arguments and their desired properties and special cases are also investigated in detail. At last, a novel approach is proposed based on the developed operators with its effectiveness being proved by an investment selection problem." @default.
• W2913509214 created "2019-02-21" @default.
• W2913509214 creator A5034575563 @default.
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• W2913509214 date "2019-01-29" @default.
• W2913509214 modified "2023-10-14" @default.
• W2913509214 title "Pythagorean fuzzy Bonferroni means based on T‐norm and its dual T‐conorm" @default.
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• W2913509214 doi "https://doi.org/10.1002/int.22097" @default.
• W2913509214 hasPublicationYear "2019" @default.
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