Cost Analysis Of Fuzzy Tandem Queues Usinga Parametric Relation Pair

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P. Yasodai , W. Ritha , J. Merline Vinotha, I. Antonitte Vinoline

Abstract

In connection with vague data, fuzziness gravels a perplexing fragment to create uncertainty. This paper compares two different tandem models of queuing systems with cost estimates and employs fuzzy ranking based on preference relations. The characteristic measures of two distinct fuzzy tandem queues are being estimated by -cut approach and interval arithmetic. Numerical examples are used to validate the effectiveness of the models.

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