Applications of Hybrid Fuzzy Expert Systems in Computer Networks Design

The task of designing and configuring large Computer Networks most suited to a certain application and environment is difficult, as it requires highly specialized technical skills and knowledge, as well as a deep understanding of a dynamic commercial market. Current expert systems have made solid achievements in supporting decision makers, they use prior experience to solve problems in different domains. Hybrid fuzzy expert systems have appeared all over the world proving that integrated fuzzy expert systems/neural networks methods replaces classical hard decision methods and providing better performance. In this paper, we present an integrated fuzzy expert system, machine learning, and neural networks approach to large structured computer networks design and evaluation. After presenting an overview of the system and the major research choices, we describe in detail the system’s modules and present examples of its potential use.