A methodology is developed by assuming the annual customer demand to be a continuous fuzzy random variable following normal distribution with associated fuzzy probability density function. This enables the simultaneous inclusion of both the inherent randomness present in any real-life inventory situation and the subjective evaluation of the decision maker into the model. A methodology is proposed to quantify both imprecise (fuzzy) and stochastic (random) information simultaneously. In this paper, a continuous review inventory model is studied in a mixed imprecise and uncertain environment.
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