Research Article

Internal Due Date Assignment in a Wafer Fabrication Factory by an Effective Fuzzy-Neural Approach

Table 3

The standardized data.


10.88−0.530.400.74−0.400.37
20.88−0.490.480.30−0.22−0.05
30.88−1.27−0.170.29−0.22−0.31
4−0.22−0.150.071.18−0.220.65
5−0.220.240.370.710.350.58
6−0.22−0.170.780.740.350.45
7−0.22−0.870.90−0.140.21−0.19
80.88−0.510.53−1.45−0.08−0.87
9−1.32−0.550.60−1.01−0.56−0.81
10−1.32−0.540.23−1.031.34−0.55
110.880.20−1.87−0.57−0.56−1.19
12−1.32−1.250.80−2.33−0.18−1.64
13−0.220.60−2.40−0.161.22−0.60
140.881.310.470.750.550.94
150.88−0.530.400.310.880.19
16−0.220.57−0.051.170.881.13
17−1.320.970.331.620.881.38
180.880.56−0.010.31−1.090.62
191.970.960.150.74−1.091.06
201.970.190.38−0.16−1.090.36
21−1.320.550.51−0.57−1.090.10
220.880.550.54−0.13−1.160.32
23−0.22−0.52−1.59−1.470.67−2.00
24−1.32−0.91−2.11−0.57−0.51−1.54
25−0.22−1.950.72−1.89−1.11−1.64
26−0.22−0.150.89−1.01−1.11−0.36
27−1.32−1.59−0.07−1.471.23−1.26
28−0.22−1.600.07−1.471.23−1.11
290.88−1.600.93−1.03−0.76−0.87
30−0.22−1.59−2.57−0.58−0.56−1.86
310.880.970.410.27−0.940.70
320.881.651.001.16−0.941.27
33−1.321.30−2.730.71−0.940.10
34−0.22−0.140.160.740.920.33
35−0.220.550.340.750.360.54
361.970.91−0.231.173.791.28
37−0.220.550.610.730.270.91
38−1.321.280.420.72−0.050.81
39−1.321.660.140.72−0.601.36
40−0.221.330.131.180.401.42