Online ISSN: 2515-8260

Keywords : Fuzzy interval numbers


OPTIMIZING HEXAGONAL FUZZY NUMBER EOQ MODEL USING NEAREST INTERVAL APPROXIMATION METHOD

A.Theresal Jeyaseeli; S.Josephine Vinnarasi

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 9, Pages 3180-3189

In this paper discussed about an EOQ model with shortage. Consider the parameters holding cost, ordering cost, shortage cost, and demand. In real life situation the parameters are not always fixed. So we meet an uncertainty. To face these uncertainties we approach fuzzy parameters. The parameters holding cost, ordering cost, shortage cost and demand are fuzzy numbers. The fuzzy numbers are modified into an interval numbers by nearest interval approximation method. In order to minimize the interval objective function. So we changed to the multi objective function. Then the multi objective function solved by fuzzy optimization technique. To determine the optimum value which is the minimize total cost. Finally, numerical examples are discussed with the proposed model