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IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)
Article . 1999 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
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Fuzzy service control of queueing systems

Authors: Φιλλης Ιωαννης(http://users.isc.tuc.gr/~yphillis); Yannis Phillis(http://users.isc.tuc.gr/~yphillis); Runtong Zhang();

Fuzzy service control of queueing systems

Abstract

We consider queueing systems in which the service rate is the controlled variable. The cost depends on the queue length and selected rate. The objective is to choose the service rate dynamically, based on the state of the system so as to minimize the average cost over an infinite horizon. Six classes, either known in the literature or new, are studied in detail: queueing systems with vacations, single-server queueing systems with and without switching costs, and tandem queueing systems with and without service costs. A novel approach is presented here using fuzzy control to solve these problems. Simulation shows that the approach is efficient and promising, especially in cases where analytical solutions do not exist.

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visibility
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
12
Average
Top 10%
Average
23
Green