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Fuzzy If-Then Rules in Computational Intelligence

Theory and Applications

Da Ruan Etienne E. Kerre

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Hardback

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English
Kluwer Academic Publishers
30 April 2000
Since 1970, 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. 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 modelling, large-scale application of fuzzy control, intelligent robotic control, and numerous other systems and practical applications.
Edited by:   ,
Imprint:   Kluwer Academic Publishers
Country of Publication:   United States [Currently unable to ship to USA: see Shipping Info]
Edition:   2000 ed.
Volume:   553
Dimensions:   Height: 235mm,  Width: 155mm,  Spine: 20mm
Weight:   1.440kg
ISBN:   9780792378204
ISBN 10:   0792378202
Series:   The Springer International Series in Engineering and Computer Science
Pages:   322
Publication Date:  
Audience:   College/higher education ,  Professional and scholarly ,  Further / Higher Education ,  Undergraduate
Format:   Hardback
Publisher's Status:   Active
1. The IF-THEN Logic of Natural Languages and Naturally Correct Inferences.- 2. Fuzzy Predicate Calculus and Fuzzy Rules.- 3. The Generalized Modus Ponens in a Fuzzy Set Theoretical Framework.- 4. Compositional Rule of Inference Based on Triangular Norms.- 5. Approximate Reasoning Based on Lattice-Valued Propositional Logic Lvpl.- 6. Mining Interesting Possibilistic Set-Valued Rules.- 7. Complexity Reduction of a Generalised Rational Form.- 8. Reasoning with Cognitive Structures of Agents I: Acquisition of Rules for Computational Theory of Perceptions by Fuzzy Relational Methods.- 9. Different Proposals to Improve the Accuracy of Fuzzy Linguistic Modeling.- 10. Linguistic IF-THEN Rules in Large Scale Application of Fuzzy Control.- 11. Fuzzy Rules Extraction-Based Linguistic and Numerical Heterogeneous Data Fusion for Intelligent Robotic Control.- 12. Fuzzy IF-THEN Rules for Pattern Classification.- 13. Experiments on Fuzzy Logic Systems Based Indirect Adaptive Control of a Flexible Link Manipulator.

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