This paper is published in Volume-4, Issue-2, 2018
Area
Queueing Theory
Author
Y. Saritha, K. Satish Kumar, K. Chandan, G. Sridhar
Org/Univ
Acharya Nagarjuna University, Guntur, Andhra Pradesh, India
Pub. Date
23 April, 2018
Paper ID
V4I2-2085
Publisher
Keywords
N-policy server timeout, membership function of (Triangular, Trapezoidal & Pentagon) Fuzzy numbers, α-cuts, DSW algorithm and Interval Analysis.

Citationsacebook

IEEE
Y. Saritha, K. Satish Kumar, K. Chandan, G. Sridhar. A study on N-policy FM/FG/1 vacation queuing system with server timeout in triangular, trapezoidal and pentagon fuzzy numbers using α-cuts, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Y. Saritha, K. Satish Kumar, K. Chandan, G. Sridhar (2018). A study on N-policy FM/FG/1 vacation queuing system with server timeout in triangular, trapezoidal and pentagon fuzzy numbers using α-cuts. International Journal of Advance Research, Ideas and Innovations in Technology, 4(2) www.IJARIIT.com.

MLA
Y. Saritha, K. Satish Kumar, K. Chandan, G. Sridhar. "A study on N-policy FM/FG/1 vacation queuing system with server timeout in triangular, trapezoidal and pentagon fuzzy numbers using α-cuts." International Journal of Advance Research, Ideas and Innovations in Technology 4.2 (2018). www.IJARIIT.com.

Abstract

This paper studied and investigated about the N-policy queueing system with server timeout, using Triangular Trapezoidal and Pentagon Fuzzy numbers with the application of fuzzy set. We consider single server vacation queueing system that operates in the following manner; when the system is empty, the server waits for fixed time c. At this time if n-customers are waiting in the queue then server return to the system and do the service. At the expiration of the time, if no customer arrives server goes on vacation. Similarly in vacation also if n-customers are waiting in queue serve return to the system and commence service exhaustively. By the approach of DSW algorithm, we develop the membership function of the system performance are of fuzzy nature. Based on the α-cut approach the fuzzy queues are reduced to a family of a crisp set. The numerical examples are also studied in this model.