ABSTRACT
In this chapter we present the application of fuzzy expert systems in ATM networks. In particular, we show how fuzzy rule-based systems can be used effectively in admission control, policing, rate control, and buffer management. We provide extended examples of applying fuzzy rate control and fuzzy policing in the context of ATM control and we examine commonalities and differences between fuzzy-based and neural-based systems.
