Monte Carlo methods in fuzzy queuing theory

被引：0
|
作者：
Areeg Abdalla
James J. Buckley
机构：
[1] University of Alabama at Birmingham,Department of Mathematics
来源：
Soft Computing | 2009年 / 13卷
关键词：
Fuzzy queuing theory; Monte Carlo; Random fuzzy vectors;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this paper, we consider an optimization problem in fuzzy queuing theory that was first used in web planning. This fuzzy optimization problem has no solution algorithm and approximate solutions were first produced by computing the fuzzy value of the objective function for only sixteen values of the fuzzy variables. We introduce our fuzzy Monte Carlo method, using a quasi-random number generator, to produce 100,000 random sequences of fuzzy vectors for the fuzzy variables, which will present a much better approximate solution.
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页码：1027 / 1033
页数：6
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