Interval optimality analysis in Erlang bulk arrival model in fuzzy environment Online publication date: Wed, 24-Jan-2018
by S. Bhuvaneswari; B. Rameshkumar; S. Murugesan
International Journal of Fuzzy Computation and Modelling (IJFCM), Vol. 2, No. 3, 2017
Abstract: In this paper, we propose a methodology to analyse the best arrival of K-phase Erlang distribution in fuzzy environment. We consider the queue parameters as triangular fuzzy numbers. At first, we construct the inverse membership of the steady state performance measures. Second, we construct the pairs of MINLP to calculate the lower and upper bound of the performance measure at the different possibility level of α via Zadeh extension principle. We analyse the interval of the best arrival optimality using testing of hypothesis. A numerical example is illustrated.
Online publication date: Wed, 24-Jan-2018
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