Markov Chain with Fuzzy States: Application to Queuing Decision Models

被引：0
|
作者：
de la Fuente, D. [1 ]
Pardo, M. J. [2 ]
机构：
[1] Univ Oviedo, Dept Accounting & Business Adm, Gijon, Spain
[2] Univ Basque Country, Dept Appl Econ 4, Bilbao, Spain
来源：
IEEM: 2008 INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT, VOLS 1-3 | 2008年
关键词：
Fuzzy sets; Markov chain; queuing theory;
D O I：
10.1109/IEEM.2008.4737854
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
In this paper, we design a queuing system by calculating the best policy to be implemented regarding publicity decisions by using Markov chains with fuzzy states. To this end, first we calculate the steady-state probabilities when the states of the Markov Chain become fuzzy, and next we illustrate by an example the theoretical results previously obtained. In the example, we apply the linear programming solution to the Markovian decision process.
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页码：173 / +
页数：2
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