How to cite this paper
Shahin, M., Doniavi, A., Solimanpur, M & Shahin, M. (2015). A novel approach for optimization in a fuzzy finite capacity queuing model with system cost and expected degree of customer satisfaction.Decision Science Letters , 4(4), 487-496.
Refrences
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Bocharov, P. P., & Viskova, E. V. (2005). A single-server finite-capacity queueing system with Markov flow and discrete-time service. Automation and Remote Control, 66(2), 233-248.
Ch Paschalidis, I., & Liu, Y. (2002). Pricing in multiservice loss networks: static pricing, asymptotic optimality, and demand substitution effects. IEEE/ACM Transactions on Networking (TON), 10(3), 425-438.
Chen, S. P. (2007). Solving fuzzy queueing decision problems via a parametric mixed integer nonlinear programming method. European Journal of Operational Research, 177(1), 445-457.
Gupta, U. C., & Sikdar, K. (2006). Computing queue length distributions in MAP/G/1/N queue under single and multiple vacation. Applied Mathematics and Computation, 174(2), 1498-1525.
Heragu, S. S., & Srinivasan, M. (2011). Analysis of manufacturing systems via single-class, semi-open queuing networks. International Journal of Production Research, 49(2), 295-319.
Jain, M. (2005). Finite capacity M/M/r queueing system with queue-dependent servers. Computers & Mathematics with Applications, 50(1), 187-199.
Ke, J. C., & Wang, K. H. (2002). A recursive method for the N policy G/M/1 queueing system with finite capacity. European Journal of Operational Research, 142(3), 577-594.
Lariviere, M. A., & Porteus, E. L. (2001). Selling to the newsvendor: An analysis of price-only contracts. Manufacturing & Service Operations Management, 3(4), 293-305.
Nakamura, Syouji. (2014). Optimal number of web server resources for job applications. International Journal of Industrial Engineering: Theory, Applications and Practice, 22(1).
Pardo, M. J., & de la Fuente, D. (2007). Optimizing a priority-discipline queueing model using fuzzy set theory. Computers & Mathematics with Applications, 54(2), 267-281.
Pardo, M. J., & De la Fuente, D. (2008). Optimal selection of the service rate for a finite input source fuzzy queuing system. Fuzzy Sets and Systems, 159(3), 325-342.
Pardo, M. J., & de la Fuente, D. (2008). Design of a fuzzy finite capacity queuing model based on the degree of customer satisfaction: analysis and fuzzy optimization. Fuzzy Sets and Systems, 159(24), 3313-3332.
Pardo, M. J., & de la Fuente, D. (2009). A new technique to optimize the functions of fuzzy profit of queuing models: Application to a queuing model with publicity and renouncement. Computers & Mathematics with Applications, 57(5), 850-864.
Paschalidis, I. C., & Tsitsiklis, J. N. (2000). Congestion-dependent pricing of network services. Networking, IEEE/ACM Transactions on, 8(2), 171-184.
Sindal, R., & Tokekar, S. (2012). A comparative analysis of queuing and fuzzy logic based admission control schemes in CDMA cellular Network.Procedia Technology, 4, 145-150.
Smith, J. M. (2003). M/G/c/K blocking probability models and system performance. Performance Evaluation, 52(4), 237-267.
Sumita, U., Masuda, Y., & Yamakawa, S. (2001). Optimal internal pricing and capacity planning for service facility with finite buffer. European Journal of Operational Research, 128(1), 192-205.
Taha, H. A. (2003). Operations Research: An Introduction, 7th ed., Prentice-Hall, NJ.
Takagi, H., Yoshino, H., Matoba, N., Azuma, M., & Shirakabe, M. (2005). System capacity calculation for packet-switched traffic in the next generation wireless systems, part II: Batch arrival M/G/1 nonpreemptive priority queueing model for transmission over a radio channel. Submitted to ITC-19.
Thomas, N. (2006). Approximation in non-product form finite capacity queue systems. Future Generation Computer Systems, 22(7), 820-827.
Wang, K. H., & Ke, J. C. (2000). A recursive method to the optimal control of an M/G/1 queueing system with finite capacity and infinite capacity. Applied Mathematical Modelling, 24(12), 899-914.
Weso?ek, P., & Kubiak, M. (2006). Multiobjective fuzzy approach to the vehicle routing problem with time windows. Diagnostyka, 21-24.
Zhang, Q. (2012). Multi-agent based bank queuing model and optimization. Advances in Electronic Engineering, Communication and Management, Lecture Notes in Electrical Engineering, 140(2), 121-127.
Zadeh, L. A. (1965). Fuzzy sets. Information and control, 8(3), 338-353.
Zadeh, L. A. (1971). Similarity relations and fuzzy orderings. Information sciences, 3(2), 177-200.
Zadeh, L. A. (1973). Outline of a new approach to the analysis of complex systems and decision processes. Systems, Man and Cybernetics, IEEE Transactions on, (1), 28-44.
Zadeh, L. A. (1974). The concept of a linguistic variable and its application to approximate reasoning (pp. 1-10). Springer US.
Zadeh, L. A. (1975). The concept of a linguistic variable and its application to approximate reasoning—II. Information sciences, 8(4), 301-357.
Zadeh, L. A. (1983). A computational approach to fuzzy quantifiers in natural languages. Computers & Mathematics with applications, 9(1), 149-184.
Zadeh, L. A. (1997). Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic. Fuzzy sets and systems, 90(2), 111-127.
Zimmermann, H. J. (1978). Fuzzy programming and linear programming with several objective functions. Fuzzy sets and systems, 1(1), 45-55.
Zimmermann, H. J. (1984). Fuzzy programming and linear programming with several objective functions. Fuzzy Sets and Decision Analysis, North-Holland, Amsterdam.
Zimmermann, H. J. (1985). Applications of fuzzy set theory to mathematical programming. Information sciences, 36(1), 29-58.
Zimmermann, H. J. (2001). Fuzzy set theory—and its applications. Springer Science & Business Media.
Ziya, S., Ayhan, H., & Foley, R. D. (2006). Optimal prices for finite capacity queueing systems. Operations Research Letters, 34(2), 214-218.
Bocharov, P. P., & Viskova, E. V. (2005). A single-server finite-capacity queueing system with Markov flow and discrete-time service. Automation and Remote Control, 66(2), 233-248.
Ch Paschalidis, I., & Liu, Y. (2002). Pricing in multiservice loss networks: static pricing, asymptotic optimality, and demand substitution effects. IEEE/ACM Transactions on Networking (TON), 10(3), 425-438.
Chen, S. P. (2007). Solving fuzzy queueing decision problems via a parametric mixed integer nonlinear programming method. European Journal of Operational Research, 177(1), 445-457.
Gupta, U. C., & Sikdar, K. (2006). Computing queue length distributions in MAP/G/1/N queue under single and multiple vacation. Applied Mathematics and Computation, 174(2), 1498-1525.
Heragu, S. S., & Srinivasan, M. (2011). Analysis of manufacturing systems via single-class, semi-open queuing networks. International Journal of Production Research, 49(2), 295-319.
Jain, M. (2005). Finite capacity M/M/r queueing system with queue-dependent servers. Computers & Mathematics with Applications, 50(1), 187-199.
Ke, J. C., & Wang, K. H. (2002). A recursive method for the N policy G/M/1 queueing system with finite capacity. European Journal of Operational Research, 142(3), 577-594.
Lariviere, M. A., & Porteus, E. L. (2001). Selling to the newsvendor: An analysis of price-only contracts. Manufacturing & Service Operations Management, 3(4), 293-305.
Nakamura, Syouji. (2014). Optimal number of web server resources for job applications. International Journal of Industrial Engineering: Theory, Applications and Practice, 22(1).
Pardo, M. J., & de la Fuente, D. (2007). Optimizing a priority-discipline queueing model using fuzzy set theory. Computers & Mathematics with Applications, 54(2), 267-281.
Pardo, M. J., & De la Fuente, D. (2008). Optimal selection of the service rate for a finite input source fuzzy queuing system. Fuzzy Sets and Systems, 159(3), 325-342.
Pardo, M. J., & de la Fuente, D. (2008). Design of a fuzzy finite capacity queuing model based on the degree of customer satisfaction: analysis and fuzzy optimization. Fuzzy Sets and Systems, 159(24), 3313-3332.
Pardo, M. J., & de la Fuente, D. (2009). A new technique to optimize the functions of fuzzy profit of queuing models: Application to a queuing model with publicity and renouncement. Computers & Mathematics with Applications, 57(5), 850-864.
Paschalidis, I. C., & Tsitsiklis, J. N. (2000). Congestion-dependent pricing of network services. Networking, IEEE/ACM Transactions on, 8(2), 171-184.
Sindal, R., & Tokekar, S. (2012). A comparative analysis of queuing and fuzzy logic based admission control schemes in CDMA cellular Network.Procedia Technology, 4, 145-150.
Smith, J. M. (2003). M/G/c/K blocking probability models and system performance. Performance Evaluation, 52(4), 237-267.
Sumita, U., Masuda, Y., & Yamakawa, S. (2001). Optimal internal pricing and capacity planning for service facility with finite buffer. European Journal of Operational Research, 128(1), 192-205.
Taha, H. A. (2003). Operations Research: An Introduction, 7th ed., Prentice-Hall, NJ.
Takagi, H., Yoshino, H., Matoba, N., Azuma, M., & Shirakabe, M. (2005). System capacity calculation for packet-switched traffic in the next generation wireless systems, part II: Batch arrival M/G/1 nonpreemptive priority queueing model for transmission over a radio channel. Submitted to ITC-19.
Thomas, N. (2006). Approximation in non-product form finite capacity queue systems. Future Generation Computer Systems, 22(7), 820-827.
Wang, K. H., & Ke, J. C. (2000). A recursive method to the optimal control of an M/G/1 queueing system with finite capacity and infinite capacity. Applied Mathematical Modelling, 24(12), 899-914.
Weso?ek, P., & Kubiak, M. (2006). Multiobjective fuzzy approach to the vehicle routing problem with time windows. Diagnostyka, 21-24.
Zhang, Q. (2012). Multi-agent based bank queuing model and optimization. Advances in Electronic Engineering, Communication and Management, Lecture Notes in Electrical Engineering, 140(2), 121-127.
Zadeh, L. A. (1965). Fuzzy sets. Information and control, 8(3), 338-353.
Zadeh, L. A. (1971). Similarity relations and fuzzy orderings. Information sciences, 3(2), 177-200.
Zadeh, L. A. (1973). Outline of a new approach to the analysis of complex systems and decision processes. Systems, Man and Cybernetics, IEEE Transactions on, (1), 28-44.
Zadeh, L. A. (1974). The concept of a linguistic variable and its application to approximate reasoning (pp. 1-10). Springer US.
Zadeh, L. A. (1975). The concept of a linguistic variable and its application to approximate reasoning—II. Information sciences, 8(4), 301-357.
Zadeh, L. A. (1983). A computational approach to fuzzy quantifiers in natural languages. Computers & Mathematics with applications, 9(1), 149-184.
Zadeh, L. A. (1997). Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic. Fuzzy sets and systems, 90(2), 111-127.
Zimmermann, H. J. (1978). Fuzzy programming and linear programming with several objective functions. Fuzzy sets and systems, 1(1), 45-55.
Zimmermann, H. J. (1984). Fuzzy programming and linear programming with several objective functions. Fuzzy Sets and Decision Analysis, North-Holland, Amsterdam.
Zimmermann, H. J. (1985). Applications of fuzzy set theory to mathematical programming. Information sciences, 36(1), 29-58.
Zimmermann, H. J. (2001). Fuzzy set theory—and its applications. Springer Science & Business Media.
Ziya, S., Ayhan, H., & Foley, R. D. (2006). Optimal prices for finite capacity queueing systems. Operations Research Letters, 34(2), 214-218.