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Table 8 Optimized values of objectives with respect to different spreads via GPT

From: Expectations of the reductions for type-2 trapezoidal fuzzy variables and its application to a multi-objective solid transportation problem via goal programming technique

Optimistic value (ξ 1)     
θ l θ r Fuzzy f 1 f 2
0.5 0.5 T2 334.4461 118.8946
0.7 0.3 T2 334.5625 119.4512
0.9 0.9 T2 327.1870 115.0227
0 0 T1 316.5965 141.4633
Pessimistic value (ξ 2)     
θ l θ r Fuzzy f 1 f 2
0.5 0.5 T2 334.9620 120.2972
0.7 0.3 T2 333.1573 120.4039
0.9 0.9 T2 330.3718 120.4579
0 0 T1 316.5965 141.4633
CV value (ξ 3)     
θ l θ r Fuzzy f 1 f 2
0.5 0.5 T2 336.5965 141.4633
0.7 0.3 T2 326.6765 141.4223
0.9 0.9 T2 316.5965 141.4633
0 0 T1 316.5965 141.4633