European Journal of Molecular & Clinical Medicine

The purpose of this paper is to find the optimal solution of the fuzzy replacement problem with the triangular fuzzy number in a different way. The proposed method is easy to apply and understand. We compared results with the existing one and a new algorithm is also developed.

Fuzzy queue tries to reduce the length of the queues in many practical situation. In this
paper we studied about the fuzzy queue with N-policy. Hence we discuss about the
characteristics ofKN- policy fuzzy queue under vague data. Hence we used triangular fuzzy
numbers as input parameters and used markov chain approach to find the expected
waiting time in the queue and the expected number of customers in the system under fuzzy
environment.