A Hybrid Technique for Order Preference in Decision-Making

Table 2

The fuzzy direct relation matrix.

	FAC	BEH	LR	SC
FAC	(0.000, 0.000, 0.000, 0.000)	(0.100, 0.250, 0.350, 0.500)	(0.700, 0.950, 0.980, 1.000)	(0.550, 0.800, 0.900, 0.950)
BEH	(0.050, 0.013, 0.250, 0.375)	(0.000, 0.000, 0.000, 0.000)	(0.100, 0.200, 0.350, 0.500)	(0.400, 0.600, 0.800, 0.900)
LR	(0.100, 0.200, 0.400, 0.500)	(0.200, 0.400, 0.500, 0.600)	(0.000, 0.000, 0.000, 0.000)	(0.600, 0.750, 0.900, 1.000)
SC	(0.100, 0.320, 0.500, 0.600)	(0.400, 0.600, 0.800, 0.900)	(0.450, 0.600, 0.800, 0.900)	(0.000, 0.000, 0.000, 0.000)
KM	(0.500, 0.700, 0.900, 1.000)	(0.100, 0.300, 0.500, 0.550)	(0.100, 0.250, 0.500, 0.600)	(0.300, 0.450, 0.600, 0.800)
PUB	(0.056, 0.150, 0.350, 0.400)	(0.500, 0.600, 0.800, 0.900)	(0.250, 0.300, 0.500, 0.600)	(0.500, 0.600, 0.850, 1.000)
SOA	(0.400, 0.600, 0.800, 0.900)	(0.200, 0.400, 0.600, 0.700)	(0.070, 0.200, 0.450, 0.550)	(0.070, 0.150, 0.350, 0.400)
	KM	PUB		SOA
FAC	(0.650, 0.900, 0.940, 0.975)	(0.625, 0.875, 0.920, 1.000)		(0.700, 0.950, 0.980, 1.000)
BEH	(0.350, 0.600, 0.700, 0.850)	(0.600, 0.800, 0.900, 1.000)		(0.200, 0.400, 0.600, 0.700)
LR	(0.400, 0.600, 0.800, 0.900)	(0.200, 0.350, 0.650, 0.750)		(0.200, 0.400, 0.600, 0.650)
SC	(0.350, 0.500, 0.750, 0.800)	(0.070, 0.200, 0.400, 0.500)		(0.300, 0.450, 0.550, 0.800)
KM	(0.000, 0.000, 0.000, 0.000)	(0.200, 0.400, 0.700, 0.750)		(0.070, 0.200, 0.500, 0.550)
PUB	(0.500, 0.750, 0.850, 0.950)	(0.000, 0.000, 0.000, 0.000)		(0.600, 0.700, 0.900, 1.000)
SOA	(0.500, 0.600, 0.800, 0.950)	(0.500, 0.800, 0.900, 1.000)		(0.000, 0.000, 0.000, 0.000)