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001			291677
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007			cr nn 008mamaa
008			150903s2005 xxk| o |||| 0|eng d
020			_a9781846280733 _99781846280733
024	7		_a10.1007/b138332 _2doi
035			_avtls000343622
039		9	_a201509031100 _bVLOAD _c201405070511 _dVLOAD _y201402061200 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aTK1-9971
100	1		_aZhang, Runtong. _eautor _9323079
245	1	0	_aFuzzy Control of Queuing Systems / _cby Runtong Zhang, Yannis A. Phillis, Vassilis S. Kouikoglou.
264		1	_aLondon : _bSpringer London, _c2005.
300			_ax, 175 páginas 77 ilustraciones _brecurso en línea.
336			_atexto _btxt _2rdacontent
337			_acomputadora _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_aarchivo de texto _bPDF _2rda
500			_aSpringer eBooks
505	0		_aFuzzy Logic -- Knowledge and Fuzzy Control -- Control of the Service Activities -- Control of the Queue Discipline -- Control of the Admission of Customers -- Coordinating Multiple Control Policies -- Applications of Fuzzy Queuing Control to the Internet -- Closure.
520			_aEvery 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 ‘fuzzy control of queuing networks’ is developed through each individual case.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700	1		_aPhillis, Yannis A. _eautor _9323080
700	1		_aKouikoglou, Vassilis S. _eautor _9323081
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9781852338244
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/b138332 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999			_c291677 _d291677