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Cited by 4 publications
(3 citation statements)
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“…Hence, various researchers applied fuzzy set theory for inventory models with imprecised information or values known with uncertainty to obtain optimal strategy. In the past decade, Samadi et al [ 24 ], Inrajithsingha et al [ 4 ], Kumar et al [ 12 – 14 ], Nayak et al [ 21 ] employed fuzzy set theory in their inventory models to obtain optimal strategies that are fit to real inventory problems with imprecised information.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Hence, various researchers applied fuzzy set theory for inventory models with imprecised information or values known with uncertainty to obtain optimal strategy. In the past decade, Samadi et al [ 24 ], Inrajithsingha et al [ 4 ], Kumar et al [ 12 – 14 ], Nayak et al [ 21 ] employed fuzzy set theory in their inventory models to obtain optimal strategies that are fit to real inventory problems with imprecised information.…”
Section: Literature Reviewmentioning
confidence: 99%
“…In this analysis we change the value of a specific parameter keeping all other parameter remains constant. Total Cost (4,5,6,7,8) 0.6290 171.7026 (5,6,7,8,9) 0.5825 185.4211 (6,7,8,9,10) 0.5449 198.1923 (7,8,9,10,11) 0.5138 210.1889 (8,9,10,11,12) 0.4875 221.5368 …”
Section: Sensitivity Analysismentioning
confidence: 99%
“…al. 9 developed a fuzzy economic production quantity model with time dependent demand rate in which the parameters treated as pentagonal fuzzy numbers. They defuzzified the total cost functions by using signed distance method.…”
Section: Introductionmentioning
confidence: 99%