Every day we experience the annoyance of having to queue. The
phenomenon is becoming more prevalent in our increasingly congested
and urbanised society. Not only the visible queues in traffic jams,
airport check in desks and supermarkets, but the more common
invisible queues caused by voice calls and data packets in optical
and wireless channels. Queues cost us time, money and resources; so
what is the solution to our greater demand for services than there
are facilities? Queuing control plays a crucial role in
manufacturing and communication networks around the world. This
pioneering approach, using fuzzy control to solve queuing control
problems, determines explicit solutions to various types of control
in queuing systems. The bulk of results have been developed over
the past decade and are presented here together for the first time.
21 detailed case studies demonstrate an efficient departure from
classical techniques. Unique work creating a new Research and
Development topic. Multidisciplinary approach that will benefit
researchers and students throughout the fields of artificial
intelligence, operations research, optimal control, Internet
techniques, communications and traffic control industries. Equipped
with an extensive bibliography for easy reference and scope for
further study.
Existing practical problems, especially those that are
unresponsive to conventional control techniques, are solved with
the introduction of this novel approach. A systematic framework of
the a ~fuzzy control of queuing networksa (TM) is developed through
each individual case.
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