Research Article

Fuzzy Constrained Probabilistic Inventory Models Depending on Trapezoidal Fuzzy Numbers

Table 1

The exact solutions and (TC) for model (I) and model () at Exponential distribution.

Crisp caseFuzzy case
(TC)(TC)

0.10.1297.09213.86084199.84250.41215.4262741.44
0.2184.89318.40552910.93158.06120.0161972.09
0.3123.7622.64672252.78107.10724.2371578.8
0.487.695526.51071898.6376.673528.0541367.98
0.565.113229.9807170357.458331.45851253.06
0.650.130833.10651593.9746.720733.94991189.84
0.741.894335.28661533.9443.055434.94361146.05
0.839.005436.16111491.7939.990735.8461112.46

0.30.1297.07911.80264148.23250.45613.61442708.31
0.2184.90516.49772863.37158.0818.35891941.59
0.3123.75920.83942207.59107.13222.67831550.15
0.487.706324.7681855.1876.739726.55351340.67
0.565.161928.27491660.857.481630.00741226.34
0.650.148231.43651552.3646.846832.49641163.56
0.741.998333.60781492.7343.174833.4981119.93
0.839.105334.48761450.7440.105234.40671086.48

0.70.1297.1186.335354012.01250.4468.999772622.85
0.2184.85111.56192739.35158.08114.23641865.33
0.3123.74216.23442092.27107.11818.8641479.48
0.487.696320.37681745.2976.720622.93721273.64
0.565.160524.02411554.5257.420426.53181161.7
0.650.216827.2661448.6547.218428.98221100.36
0.742.32729.41051390.2243.526230.00691057.21
0.839.420630.30661348.7240.441130.93421024.17