Computing Fuzzy Queueing Performance Measures by L-R Method

Computing the Performance Measures in Queueing Models via the Method of Order Statistics

This paper focuses on newmeasures of performance in single-server Markovian queueing system. These measures depend on the moments of order statistics. The expected value and the variance of the maximum minimum number of customers in the system as well as the expected value and the variance of the minimum maximum waiting time are presented. Application to an M/M/1 model is given to illustrate th...

R-bounded Fuzzy Measures Are Equivalent to Ε-possibility Measures

Traditional probabilistic description of uncertainty is based on additive probability measures. To describe nonprobabilistic uncertainty, it is therefore reasonable to consider non-additive measures. An important class of non-additive measures are possibility measures, for which μ(A ∪ B) = max(μ(A), μ(B)). In this paper, we show that possibility measures are, in some sense, universal approximat...

Measures of fuzzy semicompactness in $L$-fuzzy topological spaces

In this paper, the notion of fuzzy semicompactness degrees isintroduced in $L$-fuzzy topological spaces by means of theimplication operation of $L$. Characterizations of fuzzysemicompactness degrees in $L$-fuzzy topological spaces  areobtained, and some properties of fuzzy semicompactness degrees areresearched.

A New Fuzzy Method for Assessing Six Sigma Measures

Six-Sigma has some measures which measure performance characteristics related to a process. In most of the traditional methods, exact estimation is used to assess these measures and to utilize them in practice. In this paper, to estimate some of these measures, including Defects per Million Opportunities (DPMO), Defects per Opportunity (DPO), Defects per unit (DPU) and Yield, a new algorithm ba...

Performance Measures of Mobile Ad Hoc Networks Using Queueing Models