Minimizing OHS Risks with Spherical Fuzzy Sets as a Verdict to Inventory Management: A Case Regarding Energy Companies

Table 11

_j, a_j, and final alternative score results corresponding varying item groups.

Rank
Calibration and maintenance				Saddles
SU	(0.228, 0.894, 0.164)	−0.297	2	PR	(0.915, 0.178, 0.170)	7.068	2
ESA	(0.313, 0.860, 0.201)	0.125	1	TD	(0.915, 0.185, 0.166)	7.070	1
Meter I				GIO	(0.900, 0.219, 0.150)	6.86375	3
NA	(0.289, 0.849, 0.180)	0.029	4	Regulator and parts
KA	(0.339, 0.854, 0.205)	0.270	1	ES	(0.956, 0.127, 0.131)	7.856	1
MA	(0.335, 0.865, 0.206)	0.233	2	GA	(0.948, 0.151, 0.125)	7.734	3
EL	(0.320, 0.880, 0.184)	0.135	3	FI	(0.952, 0.137, 0.144)	7.747	2
Meter II				Steel fittings
NA	(0.252, 0.872, 0.196)	5.902	4	ES	(0.325, 0.822, 0.180)	0.249	1
KA	(0.338, 0.859, 0.206)	6.214	2	GA	(0.289, 0.868, 0.192)	−0.004	3
MA	(0.350, 0.846, 0.184)	6.181	3	FI	(0.301, 0.860, 0.187)	0.065	2
EL	(0.361, 0.843, 0.189)	6.334	1