In this article Web server workload is modelled by considering the most significant metrics, the burstiness factor and the bandwidth utilization. The integration of the workload metrics is accomplished by using a fuzzy inference system (FIS) to lessen the complexity of the metrics relation. Due to the fluctuating of WWW requests, the utilization states are viewed as a series of stochastic processes. The fuzzy Markovian prediction is a study in two manners: first, the utilization states, and second, the Markovian property. The use of the fuzzy approach for numerical calculation is demonstrated on an example of a real web server LOG data. The results of fuzzy approaches constitue a more appropriate comparison with the traditional approach.