Some Similarity Measures for Triangular Fuzzy Number and Their Applications in Multiple Criteria Group Decision-Making

Table 5

The TFNs preference vector of the three experts.

𝐴	M	𝐶1	𝐶2	𝐶3	𝐶4
	1	(0.80, 0.85, 0.90)	(0.72, 0.76, 0.80)	(0.91, 0.93, 0.96)	(0.62,0.65,0.68)
𝐴1	2	(0.65, 0.70, 0.75)	(0.57, 0.61, 0.65)	(0.76, 0.78, 0.81)	(0.47,0.50,0.53)
	3	(0.42, 0.47, 0.52)	(0.34, 0.38, 0.42)	(0.53, 0.55, 0.58)	(0.24,0.27,0.30)
	1	(0.88, 0.90, 0.93)	(0.67, 0.77, 0.83)	(0.60, 0.67, 0.70)	(0.69,0.72,0.75)
𝐴2	2	(0.73, 0.75, 0.78)	(0.52, 0.62, 0.68)	(0.42, 0.52, 0.50)	(0.54,0.57,0.60)
	3	(0.50, 0.52, 0.55)	(0.29, 0.39, 0.45)	(0.22, 0.39, 0.32)	(0.31,0.34,0.37)
	1	(0.95, 0.97, 0.98)	(0.90, 0.93, 0.95)	(0.77, 0.79, 0.82)	(0.93,0.95,0.96)
𝐴3	2	(0.80, 0.82, 0.83)	(0.75, 0.78, 0.80)	(0.62, 0.64, 0.67)	(0.78,0.80,0.81)
	3	(0.57, 0.59, 0.60)	(0.52, 0.55, 0.57)	(0.39, 0.41, 0.44)	(0.55,0.57,0.58)
	1	(0.82, 0.85, 0.88)	(0.97, 0.98, 1.00)	(0.98, 0.99, 1.00)	(0.97,0.99,1.00)
𝐴4	2	(0.67, 0.70, 0.73)	(0.82, 0.83, 0.85)	(0.83, 0.84, 0.85)	(0.82,0.84,0.85)
	3	(0.44, 0.47, 0.50)	(0.59, 0.60, 0.62)	(0.60, 0.61, 0.62)	(0.59,0.61,0.62)
	1	(0.78, 0.79, 0.81)	(0.78, 0.79, 0.81)	(0.83, 0.85, 0.88)	(0.94,0.97,0.99)
𝐴5	2	(0.63, 0.64, 0.66)	(0.63, 0.64, 0.60)	(0.68, 0.70, 0.76)	(0.79,0.82,0.80)
	3	(0.40, 0.41, 0.43)	(0.40, 0.41, 0.43)	(0.45, 0.47, 0.50)	(0.56,0.59,0.61)