Abstract
Current high speed networks, such as Asynchronous Transfer Mode (ATM), as part of the Broadband Integrated Services Digital Networks (B-ISDN), will carry a wide variety of multimedia services. Quality of Service (QoS) guarantees are key requirements for these services. Suitable techniques for routing and management procedures are needed to support these QoSs requirements.Fuzzy logic has the ability to deal with models with soft constraints whose satisfaction is a matter of degree, as well as information provided with imprecision and uncertainty which is the case with routing and management in communication networks. This research is motivated by the success of the applications of fuzzy techniques in different fields including examples in the communication networks literature.The thesis addresses fuzzifying both routing and fault management in communication networks. For the routing problem, two fuzzy approaches are proposed. For the fault management, a fuzzy temporal reasoning for event correlation is proposed as well as a model for alarm explanation using the switching theory approach. The efficiency and applicability of the proposed models are tested under different load conditions by studying measures of performance. The results show that the fuzzy approach is an effective tool for obtaining good compromise solutions.