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- W4385355037 abstract "Fermatean fuzzy set is an improved variant of intuitionistic fuzzy set that allows the relaxation of the restraints on the degrees of belongingness and nonbelongingness to enhance its ability to tackle complex decision-making problems. The conception of Fermatean fuzzy correlation coefficient operator is of a significant importance in computational intelligence. Certain correlation coefficient operators for measuring the association/correlation of Fermatean fuzzy sets (FFSs) have been studied, however with some setbacks in terms of accuracy and model formulation. In this chapter, two new correlation coefficient operators that reliably measure the correlation between any two arbitrary FFSs are developed. Some properties of the new Fermatean fuzzy correlation coefficient operators are presented to authenticate their appropriateness as viable correlation coefficients. Furthermore, the application of the new Fermatean fuzzy correlation coefficient operators is discussed in the cases of medical diagnosis based on Fermatean fuzzy simulated medical data. Lastly, the new Fermatean fuzzy correlation coefficient operators are compared with existing Fermatean fuzzy correlation coefficient approaches and adjudged to outclass existing approaches with better numerical results as presented in Tables 2.4–2.7 and graphically shown Figs. 2.2–2.5." @default.
- W4385355037 created "2023-07-29" @default.
- W4385355037 creator A5024087883 @default.
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- W4385355037 date "2023-01-01" @default.
- W4385355037 modified "2023-09-26" @default.
- W4385355037 title "Fermatean fuzzy approach of diseases diagnosis based on new correlation coefficient operators" @default.
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- W4385355037 doi "https://doi.org/10.1016/b978-0-443-19413-9.00021-7" @default.
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