Applied Computational Intelligence and Soft Computing

Research Article

The Characteristics of Circular Fermatean Fuzzy Sets and Multicriteria Decision-Making Based on the Fermatean Fuzzy t-Norm and t-Conorm

Table 4

FFDM.


DE	Alternatives	cC1	cC2	cC3	cC4	cC5

		(0.76, 0.37)	(0.56, 0.57)	(0.38, 0.77)	(0.19, 0.99)	(0.43, 0.69)
		(0.64, 0.49)	(0, 1)	(0.95, 0.37)	(0.85, 0.39)	(0.28, 0.89)
		(0.95, 0.37)	(0.76, 0.37)	(0.19, 0.99)	(0, 1)	(0.64, 0.49)
		(0.19, 0.99)	(0.38, 0.77)	(0.85, 0.39)	(0.28, 0.89)	(0.56, 0.57)
		(1, 0)	(0.43, 0.69)	(1, 0)	(0.95, 0.37)	(0.76, 0.37)
		(0.56, 0.57)	(0.28, 0.89)	(0.64, 0.49)	(0.85, 0.39)	(0.38, 0.77)

		(0.56, 0.57)	(0.19, 0.99)	(0.43, 0.69)	(0.76, 0.37)	(0.38, 0.77)
		(0, 1)	(0.85, 0.39)	(0.28, 0.89)	(0.64, 0.49)	(0.95, 0.37)
		(0.76, 0.37)	(0, 1)	(0.64, 0.49)	(0.95, 0.37)	(0.19, 0.99)
		(0.38, 0.77)	(0.28, 0.89)	(0.56, 0.57)	(0.19, 0.99)	(0.85, 0.39)
		(0.43, 0.69)	(0.95, 0.37)	(0.76, 0.37)	(1, 0)	(1, 0)
		(0.28, 0.89)	(0.85, 0.39)	(0.38, 0.77)	(0.56, 0.57)	(0.64, 0.49)

		(0.43, 0.69)	(0.38, 0.77)	(0.56, 0.57)	(0.76, 0.37)	(0.19, 0.99)
		(0.28, 0.89)	(0.95, 0.37)	(0, 1)	(0.64, 0.49)	(0.85, 0.39)
		(0.64, 0.49)	(0.19, 0.99)	(0.76, 0.37)	(0.95, 0.37)	(0, 1)
		(0.56, 0.57)	(0.85, 0.39)	(0.38, 0.77)	(0.19, 0.99)	(0.28, 0.89)
		(0.76, 0.37)	(1, 0)	(0.43, 0.69)	(1, 0)	(0.95, 0.37)
		(0.38, 0.77)	(0.64, 0.49)	(0.28, 0.89)	(0.56, 0.57)	(0.85, 0.39)