Vertex method for computing functions of fuzzy variables
Fuzzy Sets and Systems
On using &agr;-cuts to evaluate fuzzy equations
Fuzzy Sets and Systems
Elementary queueing theory based on possibility theory
Fuzzy Sets and Systems
Analysis and simulation of fuzzy queues
Fuzzy Sets and Systems - Special issue on industrial engineering methods
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
Parametric programming to the analysis of fuzzy queues
Fuzzy Sets and Systems
Fuzzy Sets and Systems: Theory and Applications
Fuzzy Sets and Systems: Theory and Applications
M/G/c/K blocking probability models and system performance
Performance Evaluation
A single-server finite-capacity queueing system with Markov flow and discrete-time service
Automation and Remote Control
Approximation in non-product form finite capacity queue systems
Future Generation Computer Systems - Systems performance analysis and evaluation
Introduction to Mathematical Programming: Applications and Algorithms
Introduction to Mathematical Programming: Applications and Algorithms
Operations Research: An Introduction (8th Edition)
Operations Research: An Introduction (8th Edition)
Optimizing a priority-discipline queueing model using fuzzy set theory
Computers & Mathematics with Applications
Fuzzy assignment of customers for a parallel queueing system with two heterogeneous servers
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Optimal selection of the service rate for a finite input source fuzzy queuing system
Fuzzy Sets and Systems
Finite capacity M/M/r queueing system with queue-dependent servers
Computers & Mathematics with Applications
Gradual Numbers and Their Application to Fuzzy Interval Analysis
IEEE Transactions on Fuzzy Systems
Optimal prices for finite capacity queueing systems
Operations Research Letters
Fuzzy Markovian decision processes: Application to queueing systems
Computers & Mathematics with Applications
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Due to uncontrollable factors, the parameters in the queuing models may be uncertain and so in this paper we present the design of a fuzzy finite capacity queuing model in which the arrival pattern and the service pattern follow an exponential distribution under uncertain parameter. As for the design of the system, the criterion of optimization proposed is aimed at the optimum selection of the number of servers, with the goal of providing a high degree of satisfaction to clients when they join the system. This optimization process will be solved through Markov chains with fuzzy state. The validity of the procedure proposed to incorporate fuzzy data in this queuing system is confirmed by a fuzzy simulation experiment of the differential equations, which govern the behaviour of the model, by the Bontempi's Qua. Si. III algorithm. The extension of queuing decision models to fuzzy environments enables the decision maker to obtain more informative results and wider knowledge on the behaviour of the system, since the results obtained in the fuzzy queuing model are fuzzy subsets containing the whole initial information; that is why the finite capacity queuing models with uncertain data can have a broader range of applications.