Skip navigation
Please use this identifier to cite or link to this item:
Title: Performance modeling and ANFIS computing for finite buffer retrial queue under F-policy
Authors: Jain, Madhu
Sanga S.S.
Das K.N.
Pant M.
Deep K.
Bansal J.C.
Lal A.K.
Garg H.
Nagar A.K.
Published in: Proceedings of Advances in Intelligent Systems and Computing
Abstract: This investigation is concerned with the performance prediction and admission control F-policy for the machine repair problem with retrial. To develop a Markov model, the steady state Chapman-Kolmogorov equations are constructed. The system state probabilities are obtained by using recursive method. Various performance measures are established explicitly in terms of steady state probabilities. To examine the effects of system parameters, the numerical simulation is performed by choosing a suitable illustration. The cost function is also framed to evaluate the optimal service rate and corresponding optimal cost. ANFIS soft computing technique is used to compare the numerical results obtained analytically and also by implementing ANFIS. © Springer Nature Singapore Pte Ltd. 2017.
Citation: Proceedings of Advances in Intelligent Systems and Computing, (2017), 248- 258
Issue Date: 2017
Publisher: Springer Verlag
Keywords: ANFIS
Cost optimization
Machine repair
Recursive technique
Cost functions
Equations of state
Fuzzy inference
Markov processes
Queueing theory
Soft computing
Cost optimization
Machine repair
Recursive techniques
Problem solving
ISBN: 9.79E+12
ISSN: 21945357
Author Scopus IDs: 7402070856
Author Affiliations: Jain, M., Department of Mathematics, IIT Roorkee, Roorkee, 247 667, India
Sanga, S.S., Department of Mathematics, IIT Roorkee, Roorkee, 247 667, India
Corresponding Author: Sanga, S.S.; Department of Mathematics, IIT RoorkeeIndia; email:
Appears in Collections:Conference Publications [MA]

Files in This Item:
There are no files associated with this item.
Show full item record

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.