Although fuzzy systems and neural networks stand central to the field of soft computing, most research work has focused in the development of the theories, algorithms, and designs of systems for specific applications. There has been little theoretical support for fuzzy neural systems, especially their mathematical foundations. Fuzzy Neural Intelligent Systems fills this gap. It develops a mathematical basis for fuzzy neural networks, offers a better way of combining fuzzy logic systems with neural networks, and explores some of their engineering applications. Dividing their focus into three main areas of interest, the authors give a systematic, comprehensive treatment of the relevant concepts and state-of-the-art applications.oThe fundamental concepts and theories for fuzzy systems and neural networks.oThe foundation for fuzzy neural networks and important related topicsoCase examples for neuro-fuzzy systems, fuzzy systems, neural network systems, and fuzzy-neural systems.Suitable for self-study, as a reference, and as a textbook, Fuzzy Neural Intelligent Systems is accessible to readers with a basic background in linear algebra and engineering mathematics. Mastering the material in this book will prepare readers to better understand, design, and implement fuzzy neural systems, develop new applications, and further advance the field.