Fuzzy intelligent hybrid systems and their applications

Abstract

This paper addresses some of the issues involved in developing a technology that supports the implementation of an autonomous fuzzy hybrid intelligent systems. The technology is based on the premise that integrated solution architectures will be much more effective and highly flexible in their ability to successfully handle a broad base of applications with a wider scope of problem variations. Hybrid systems in artificial intelligence represent a new field of research that deals with the synergism of expert systems and neural network technologies. The integration of the computational paradigms of these two highly complementary knowledge representation techniques is imperative to the process of developing effective robust intelligent systems for a large number of important applications.<>