Fuzzy logic-based circuits are instrumental in computer hardware applications. Currently, they are widely relied upon to recognize gradual and relative properties in electronic and real data. This comprehensive edited volume focuses on 'fuzzy technology'. Presented in four clearly organized thematic sections, coverage includes fuzzy set theory, fuzzy logic control, examples of fuzzy logic implementations and finally examples of neuro-fuzzy hybrid systems and their applications, featuring explanation of classical fuzzy logic, fuzzy arithmetic operations, approximate reasoning and fuzzy control in terms of Boolean logic, set theory, and control theory; detailed discussion of digital and analog implementation of fuzzy logic discrete and VLSI circuits; coverage of fuzzy control-based systematic design methodology, and assessment of the compatibility of conventional control with crisp fuzzy control; an overview of the latest fuzzy logic digital and analog hardware applications including CMOS and CAD tools; and includes the chapter-by-chapter synopses and exercises. Written by a team of internationally renowned computer science specialists, this is a forward-looking account of the emergence of neuro-fuzzy systems. Professional computer scientists and engineers developing fuzzy logic applications will find this an invaluable reference. Researchers and students in the broad field of artificial intelligence will find this a source of inspiration.