The number of fuzzy logic applications is very large. This book tells the reader how to use fuzzy logic to find solutions in areas such as control systems, factory automation, product quality control, product inspection, instrumentation, pattern recognition, image analysis, database query processing, decision support, data mining, time series (waveform) databases, geographic information systems, and image databases. Those who have applications in these areas will find the book invaluable.The author was the first student to write a PhD fuzzy logic thesis under Professor Lotfi A Zadeh (the inventor of fuzzy logic), in 1967 at the University of California, Berkeley. In 1993, he designed and introduced the NICEL language for writing fuzzy programs that enclose if-then rules. NICEL is powerful and easy to use. The reader will find in the book that many algorithms for real world applications can be conveniently represented in NICEL.
Basic ideas of fuzzy logic; fuzzy rules; a tutorial example of a fuzzy program; lexical elements; language structure; transducers; signal conditioning; the inverted pendulum problem; the Hitachi ping-pong ball controller; a comparison of fuzzy logic versus PID control; determination of air pollution categories; digital signal processing; imaging software toolkits; edge detection; soft attributes in data modelling; soft query representation; defining data mining; discovering relationships among variables; the Sugeno-Takagi-Kang model extensions of the NICEL language. (Part contents.)