CLC number: O22
On-line Access:
Received: 2008-02-28
Revision Accepted: 2008-06-26
Crosschecked: 2008-12-26
Cited: 6
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Chuen-horng LIN, Jau-chuan KE. Optimal operating policy for a controllable queueing model with a fuzzy environment[J]. Journal of Zhejiang University Science A, 2009, 10(2): 311-318.
@article{title="Optimal operating policy for a controllable queueing model with a fuzzy environment",
author="Chuen-horng LIN, Jau-chuan KE",
journal="Journal of Zhejiang University Science A",
volume="10",
number="2",
pages="311-318",
year="2009",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.A0820139"
}
%0 Journal Article
%T Optimal operating policy for a controllable queueing model with a fuzzy environment
%A Chuen-horng LIN
%A Jau-chuan KE
%J Journal of Zhejiang University SCIENCE A
%V 10
%N 2
%P 311-318
%@ 1673-565X
%D 2009
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A0820139
TY - JOUR
T1 - Optimal operating policy for a controllable queueing model with a fuzzy environment
A1 - Chuen-horng LIN
A1 - Jau-chuan KE
J0 - Journal of Zhejiang University Science A
VL - 10
IS - 2
SP - 311
EP - 318
%@ 1673-565X
Y1 - 2009
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.A0820139
Abstract: We construct the membership functions of the fuzzy objective values of a controllable queueing model, in which cost elements, arrival rate and service rate are all fuzzy numbers. Based on Zadeh’s extension principle, a set of parametric nonlinear programs is developed to find the upper and lower bounds of the minimal average total cost per unit time at the possibility level. The membership functions of the minimal average total cost are further constructed using different values of the possibility level. A numerical example is solved successfully to illustrate the validity of the proposed approach. Because the object value is expressed and governed by the membership functions, the optimization problem in a fuzzy environment for the controllable queueing models is represented more accurately and analytical results are more useful for system designers and practitioners.
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