Optimization of EOQ model without shortages under uncertainty
2021
The goal of this undertaking is to discover the enhancement of EOQ model under uncertainty with no reasonable deficiencies for Pentagonal Fuzzy Numbers. Here the parameters like purchasing cost, storing cost and yearly interest are thought to be Pentagonal Fuzzy Numbers. The PFN can be defuzzify by utilizing the Graded Mean Integration Representation technique to get the advancement in the least difficult manner. The fuzzy optimal solution of the stock model is arrived by utilizing the expansion of Lagrangeanstrategy. To make this strategy progressively reasonable, numerical instances of both PFN is shown by utilizing the fuzzy values.
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