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"Fuzzy logic is a superset of conventional (Boolean) logic that has been extended to handle the concept of partial truth -- truth values between "completely true" and "completely false". It was introduced by Dr. Lotfi Zadeh of UC/Berkeley in the 1960's as a means to model the uncertainty of natural language." FAQ: Fuzzy Logic and Fuzzy Expert Systems
The Center for Fuzzy Logic, Robotics , and Intelligent Systems (CFL) at Texas A&M University is one of the leading research organizations in the nation focusing on multi-disciplinary research related to intelligent systems and their applications in Engineering Systems. The research activities of the Center cover emerging technologies including Fuzzy Logic, Robotics, and Artificial Intelligence.
The Perceptual Science Laboratory is engaged in a variety of experimental and theoretical inquiries in perception and cognition. A major research area concerns speech perception by ear and eye, and facial animation. We also have tested a general fuzzy logical model of perception in a variety of domains, including perception and understanding of language, memory, object, shape and depth perception, learning, and decision making. Research is also being carried out in reading.
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