Fuzzy If-Then Rules in Computational Intelligence: Theory and Applications
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 be...
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Weitere Verfasser: | , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Boston, MA
Springer US
2000
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Schriftenreihe: | The Springer International Series in Engineering and Computer Science
553 |
Schlagworte: | |
Online-Zugang: | FHI01 BTU01 Volltext |
Zusammenfassung: | 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 |
Beschreibung: | 1 Online-Ressource (X, 322 p) |
ISBN: | 9781461545132 |
DOI: | 10.1007/978-1-4615-4513-2 |
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520 | |a 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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Datensatz im Suchindex
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any_adam_object | |
author2 | Ruan, Da Kerre, Etienne E. |
author2_role | edt edt |
author2_variant | d r dr e e k ee eek |
author_facet | Ruan, Da Kerre, Etienne E. |
building | Verbundindex |
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dewey-full | 511.3 |
dewey-hundreds | 500 - Natural sciences and mathematics |
dewey-ones | 511 - General principles of mathematics |
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discipline | Mathematik |
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format | Electronic eBook |
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spelling | Fuzzy If-Then Rules in Computational Intelligence Theory and Applications edited by Da Ruan, Etienne E. Kerre Boston, MA Springer US 2000 1 Online-Ressource (X, 322 p) txt rdacontent c rdamedia cr rdacarrier The Springer International Series in Engineering and Computer Science 553 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 Mathematics Mathematical Logic and Foundations Operation Research/Decision Theory Calculus of Variations and Optimal Control; Optimization Artificial Intelligence (incl. Robotics) Operations research Decision making Artificial intelligence Mathematical logic Calculus of variations Fuzzy-Logik (DE-588)4341284-1 gnd rswk-swf Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Expertensystem (DE-588)4113491-6 gnd rswk-swf 1\p (DE-588)4143413-4 Aufsatzsammlung gnd-content Fuzzy-Logik (DE-588)4341284-1 s 2\p DE-604 Künstliche Intelligenz (DE-588)4033447-8 s 3\p DE-604 Expertensystem (DE-588)4113491-6 s 4\p DE-604 Ruan, Da edt Kerre, Etienne E. edt Erscheint auch als Druck-Ausgabe 9781461370352 https://doi.org/10.1007/978-1-4615-4513-2 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 4\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Fuzzy If-Then Rules in Computational Intelligence Theory and Applications Mathematics Mathematical Logic and Foundations Operation Research/Decision Theory Calculus of Variations and Optimal Control; Optimization Artificial Intelligence (incl. Robotics) Operations research Decision making Artificial intelligence Mathematical logic Calculus of variations Fuzzy-Logik (DE-588)4341284-1 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Expertensystem (DE-588)4113491-6 gnd |
subject_GND | (DE-588)4341284-1 (DE-588)4033447-8 (DE-588)4113491-6 (DE-588)4143413-4 |
title | Fuzzy If-Then Rules in Computational Intelligence Theory and Applications |
title_auth | Fuzzy If-Then Rules in Computational Intelligence Theory and Applications |
title_exact_search | Fuzzy If-Then Rules in Computational Intelligence Theory and Applications |
title_full | Fuzzy If-Then Rules in Computational Intelligence Theory and Applications edited by Da Ruan, Etienne E. Kerre |
title_fullStr | Fuzzy If-Then Rules in Computational Intelligence Theory and Applications edited by Da Ruan, Etienne E. Kerre |
title_full_unstemmed | Fuzzy If-Then Rules in Computational Intelligence Theory and Applications edited by Da Ruan, Etienne E. Kerre |
title_short | Fuzzy If-Then Rules in Computational Intelligence |
title_sort | fuzzy if then rules in computational intelligence theory and applications |
title_sub | Theory and Applications |
topic | Mathematics Mathematical Logic and Foundations Operation Research/Decision Theory Calculus of Variations and Optimal Control; Optimization Artificial Intelligence (incl. Robotics) Operations research Decision making Artificial intelligence Mathematical logic Calculus of variations Fuzzy-Logik (DE-588)4341284-1 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Expertensystem (DE-588)4113491-6 gnd |
topic_facet | Mathematics Mathematical Logic and Foundations Operation Research/Decision Theory Calculus of Variations and Optimal Control; Optimization Artificial Intelligence (incl. Robotics) Operations research Decision making Artificial intelligence Mathematical logic Calculus of variations Fuzzy-Logik Künstliche Intelligenz Expertensystem Aufsatzsammlung |
url | https://doi.org/10.1007/978-1-4615-4513-2 |
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