comparing the performance of a set of activities or organizations under uncertainty environment has been performed by means of fuzzy data envelopment analysis (fdea) since the traditional dea models require accurate and precise performance data. as regards a method for dealing with uncertainty environment, many researchers have introduced dea models in fuzzy environment. some of these models ar...

One of the most important performance measures in the analysis of data networks is the average delay required to deliver a packet from origin to destination. The packet delay will aaect the choice and performance of several network algorithms such as routing and ow control. Queueing theory is the primary methodological framework for analyzing network delay. It provides a basis for adequate dela...

this paper presents a mathematical model for a flow shop scheduling problem consisting of m machine and n jobs with fuzzy processing times that can be estimated as independent stochastic or fuzzy numbers. in the traditional flow shop scheduling problem, the typical objective is to minimize the makespan). however,, two significant criteria for each schedule in stochastic models are: expectable m...

This paper describes the MQNA Markovian Queueing Networks Analyser, a software tool to model and obtain the stationary solution of a large class of Queueing Networks. MQNA can directly solve open and closed product-form queueing networks using classical algorithms. For finite capacity queueing models, MQNA generates Markovian description in the Stochastic Automata Networks (SAN) and Stochastic ...

In this paper, an overview of different analytic queueing models for traffic on road networks is presented. In the literature, it has been shown that queueing models can be used to adequately model uninterrupted traffic flows. This paper gives a broad review on this literature. Moreover, it is shown that the developed published methodologies (which are mainly single node oriented) can be extend...