By Topic

A membership function solution to multiple-server fuzzy queues

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Shu Wang ; Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China ; Dingwei Wang

Problems of multiple-server fuzzy queues are often encountered in service industry, such as in hospital clinics. Herein, a membership function of the performance measure of multiple-server fuzzy queues with the arrival rate and service rate are fuzzy numbers is derived, in which α-cut and Zadeh's extension principle are applied to transform multiple-server fuzzy queues to a family of conversional multiple-server queues, and a pair of parametric programs is formulated to calculate the upper and lower bounds of the performance measure. As α varies, the membership function of the expected sojourn time per patient in the clinic with 2-server fuzzy queues is solved in the presented numerical example. Since the performance measures are expressed by membership functions rather than by crisp values, more information is provided for managerial decision-making in hospitals.

Published in:

Services Systems and Services Management, 2005. Proceedings of ICSSSM '05. 2005 International Conference on  (Volume:1 )

Date of Conference:

13-15 June 2005