Use of Intuitionistic Fuzzy Numbers in Survey Sampling Analysis with Application in Electronic Data Interchange

Table 8

Intuitionistic fuzzy average response.

Main item	Weight 1	Subitem	Weight 2	A1	A2	A3	A4	A5	A6	A7
F1	([2.5, 3.5, 4.5], [5.5, 6.5, 7.5])	F11	([3, 4, 5], [6, 7, 8])	0	(0.53096, 0)	(0.5, 0)	0	0	0	0
		F12	([3, 4, 5], [1.5, 3, 4.5])	(0.55279, 0)	0	(0.5, 0)	0	0	0	0
F2	([0.5, 1.5, 2.5], [3.5, 4.5, 5.5])	F21	([4, 5, 6], [7, 8, 9])	0	(0.60314, 0.34641)	0	0	0	0	0
		F22	([4.5, 5.5, 6.5], [4, 5, 6])	0	0	(0.6, 0)	0	0	(0.5, 0)	0
F3	([2, 3, 4], [5, 6, 7])	F31	([5.5, 6.5, 7], [6, 7, 8, ])	(0.55279, 0)	(0.6127, 0)	0	0	0	0	0
		F32	([5, 6, 7], [3.5, 5, 6.5])	0	0	(0.45228, 0)	(0.6127, 0)	0	0	0
F4	([3.5, 4.5, 5.5], [6.5, 7.5, 8.5])	F41	([3, 4, 5], [6, 7, 8])	(0.78787, 0.15811)	0	0	0	0	0	0
		F42	([7.5, 8.5, 9.5], [2.5, 4, 5.5])	0	(0.5, 0)	(0.5, 0))	0	0	0	0
F5	([1.5, 2.5, 3.5], [4.5, 5.5, 6.5])	F51	([4.5, 5.5, 6], [5, 6, 7])	0	0	(0.45228, 0.19365)	(0.55279, 0)	0	0	0
		F52	([5, 6, 7], [3.5, 5, 6.5])	0	(0.55, 0)	0	0	0	0	0