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Fuzzy If-Then Rules in Computational Intelligence - Theory and Applications (Paperback, Softcover reprint of the original 1st ed. 2000)
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Fuzzy If-Then Rules in Computational Intelligence - Theory and Applications (Paperback, Softcover reprint of the original 1st ed. 2000)
Series: The Springer International Series in Engineering and Computer Science, 553
Expected to ship within 10 - 15 working days
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During the last three decades, interest has increased significantly
in the representation and manipulation of imprecision and
uncertainty. Perhaps the most important technique in this area
concerns fuzzy logic or the logic of fuzziness initiated by L. A.
Zadeh in 1965. Since then, fuzzy logic has been incorporated into
many areas of fundamental science and into the applied sciences.
More importantly, it has been successful in the areas of expert
systems and fuzzy control. The main body of this book consists of
so-called IF-THEN rules, on which experts express their knowledge
with respect to a certain domain of expertise. Fuzzy IF-THEN Rules
in Computational Intelligence: Theory and Applications brings
together contributions from leading global specialists who work in
the domain of representation and processing of IF-THEN rules. This
work gives special attention to fuzzy IF-THEN rules as they are
being applied in computational intelligence. Included are
theoretical developments and applications related to IF-THEN
problems of propositional calculus, fuzzy predicate calculus,
implementations of the generalized Modus Ponens, approximate
reasoning, data mining and data transformation, techniques for
complexity reduction, fuzzy linguistic modeling, large-scale
application of fuzzy control, intelligent robotic control, and
numerous other systems and practical applications. This book is an
essential resource for engineers, mathematicians, and computer
scientists working in fuzzy sets, soft computing, and of course,
computational intelligence.
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