Abstract:In this paper, we propose a procedure to find different performance measurements under crisp value terms for new single fuzzy queue FM/F(H 1 ,H 2 )/1 with two classes, where arrival rate and service rates are all fuzzy numbers which are represented by triangular and trapezoidal fuzzy numbers. The basic idea is to obtain exact crisp values from the fuzzy value, which is more realistic in the practical queueing system. This is done by adopting left and right ranking method to remove the fuzziness before computin… Show more
“…Thus, fuzzy queueing models have been described by a many researchers such as S. U. Malini and Felbin [6], Mueen et al [4], Rajalakshmi and Julia [2], Usha and Chanda [3] and Noor et al [5]. Fuzzy problem has been studied by using heptagonal fuzzy number by Shanmugasundaram and Thamilselvi [8].…”
This paper investigates the simple queue with balking and feedback customers by using the fuzzy set theory. The main proposal is a mathematical programming approach to develop the membership function of the performance measures of the model, in which the arrival rate and service rate are defined as fuzzy numbers. The Zadeh's extension principle and cut approach are used to transform fuzzy queue into a family of crisps queue. To illustrate the approach, a numerical example is presented for heptagonal fuzzy numbers. Also, economic analysis of system is carried out by developing a cost model when some of parameters of the system are fuzzy numbers.
“…Thus, fuzzy queueing models have been described by a many researchers such as S. U. Malini and Felbin [6], Mueen et al [4], Rajalakshmi and Julia [2], Usha and Chanda [3] and Noor et al [5]. Fuzzy problem has been studied by using heptagonal fuzzy number by Shanmugasundaram and Thamilselvi [8].…”
This paper investigates the simple queue with balking and feedback customers by using the fuzzy set theory. The main proposal is a mathematical programming approach to develop the membership function of the performance measures of the model, in which the arrival rate and service rate are defined as fuzzy numbers. The Zadeh's extension principle and cut approach are used to transform fuzzy queue into a family of crisps queue. To illustrate the approach, a numerical example is presented for heptagonal fuzzy numbers. Also, economic analysis of system is carried out by developing a cost model when some of parameters of the system are fuzzy numbers.
“…Performance Measures-𝐿q , 𝐿s & 𝑊s , WqLet 𝜆1 =[10,12,14,16,18,20,22] and 𝜆2 =[11,13,15,17,19,21,23] are the arrival rate and 𝜇1 =[31,33,35,37,39,41,43] and 𝜇2[32, 34, 36,38,40,42,44] are two different service rates respectively.…”
This paper presents Non-Preemptive priority fuzzy queuing model with asymmetrical service rates. Arrival rate and service rate are taken to be hexagonal, heptagonal, and octagonal fuzzy numbers. Here an interpretation is given to determine the performance measures by applying a new ranking technique through which the fuzzy values are reduced to the crisp values. This ranking technique has the benefit of being precise and relevant compared to other methods such as alpha-cut method and LR method. The main intention is to evaluate the fuzziness before the performance measures are processed by utilizing the regular queueing hypothesis. Three numerical examples are exhibited to show the validity implementation of the methodology.
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