Sree Sowdambika College of Engineering,
Aruppukottai, Tamil Nadu
India
Review Article
Predictor Analysis on Non-parametric Bulk Arrival Fuzzy Queuing System
Author(s): Sivaraman Geetha, Bharathi Ramesh Kumar and Sankar MurugesanSivaraman Geetha, Bharathi Ramesh Kumar and Sankar Murugesan
In general a management does not like the arriving customer wait for service in a system. It is not possible for all the times because the situation. In this case parameter estimation is helpful to rectify this difficulty and to analyze the modeling of system performance. Practically the queue parameters are not deterministic. So in this paper we estimate the queue parameter. Initially we construct the inverse membership function of the k-phase fuzzy queueing system and proposed an algorithm of performing the system. Finally, obtained the level of uncertainty range in the system and analyze the interval optimality level of k-phase fuzzy queueing system. The idea is extended to the work. A numerical example is included.
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DOI:
10.4172/2229-8711.1000212
Global Journal of Technology and Optimization received 847 citations as per Google Scholar report