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• W2746532085 abstract "This paper presents a simulation approach of the problem of scheduling customers in a queuing networks using a fuzzy inference system. Usually, in the queuing systems there are rules as round robin, equiprobable, shortest queue, among others, to schedule customers, however the condition of the system like the cycle time, utilization and the length of queue is difficult to measure. We propose a fuzzy inference system in order to determine the status in the system using input variables like the length queue and utilization. Our simulation shows an improvement in the performance measures compared with traditional scheduling policies." @default.
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• W2746532085 date "2017-01-01" @default.
• W2746532085 modified "2023-10-02" @default.
• W2746532085 title "Simulation of Fuzzy Inference System to Task Scheduling in Queueing Networks" @default.
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• W2746532085 doi "https://doi.org/10.1007/978-3-319-66963-2_24" @default.
• W2746532085 hasPublicationYear "2017" @default.
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