Buch, Englisch, Band 553, 322 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 511 g
Reihe: The Springer International Series in Engineering and Computer Science
Theory and Applications
Buch, Englisch, Band 553, 322 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 511 g
Reihe: The Springer International Series in Engineering and Computer Science
ISBN: 978-1-4613-7035-2
Verlag: Springer US
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Optimierung
- Wirtschaftswissenschaften Betriebswirtschaft Management Entscheidungsfindung
- Mathematik | Informatik Mathematik Mathematik Allgemein Mathematische Logik
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
- Mathematik | Informatik Mathematik Mathematik Allgemein Grundlagen der Mathematik
Weitere Infos & Material
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.