| Titre : |
Fuzzy logic with engineering applications |
| Type de document : |
texte imprimé |
| Auteurs : |
Ross, Timothy J., Auteur |
| Mention d'édition : |
3rd ed. |
| Editeur : |
New York : John Wiley |
| Année de publication : |
2010 |
| Importance : |
XXI, 585 p |
| Présentation : |
ill |
| Format : |
25 cm |
| ISBN/ISSN/EAN : |
978-0-470-74376-8 |
| Note générale : |
Bibliogr. - Index |
| Langues : |
Anglais (eng) |
| Mots-clés : |
Engineering mathematics
Fuzzy logic
Logique symbolique et mathématique
Logique floue |
| Index. décimale : |
681.51 Systemes de régulation automatique en général.caractéristiques techniques de la cybernétique |
| Résumé : |
Fuzzy logic is a relatively new discipline in which major advances have been made over the last decade or so with regard to theory and applications. Following on from the successful first edition, this fully updated new edition is therefore very timely and much anticipated. Concentration on the topics of fuzzy logic combined with an abundance of worked examples, chapter problems and commercial case studies is designed to help motivate a mainstream engineering audience, and the book is further strengthened by the inclusion of an online solutions manual as well as dedicated software codes.
Senior undergraduate and postgraduate students in most engineering disciplines
academics and practicing engineers, plus some working in economics, control theory, operational research etc, will all find this a valuable addition to their bookshelves. --Ce texte fait référence à une édition épuisée ou non disponible de ce titre.
Fuzzy logic is a simple phrase that actually refers to a large subject dealing with a set of methods to characterize and quantify uncertainty in engineering systems that arise from ambiguity, imprecision, fuzziness, and lack of knowledge.
This 15-chapter textbook remains the only major text that can be used for both undergraduate and graduate classroom instruction in this technology field. The first 8 chapters of the text cover fundamental materials useful in characterizing various forms of uncertainty and in developing the methods to quantify these uncertainties. Four chapters present specific case studies in decision making, classification and pattern recognition, control, simulation, and fuzzy arithmetic. There is one chapter on miscellaneous applications of fuzzy logic, one chapter on new rule-reduction techniques, and the final chapter presents material on other uncertainty theories with examples using evidence theory, possibility theory, and probability theory.This book will appeal to senior undergraduate and graduate students in engineering, and to graduate students in many other scientific fields. Practitioners in control theory, classification, systems integration and systems modeling and operations research application will also find this a useful text. --Ce texte fait référence à une édition épuisée ou non disponible de ce titre. |
| Note de contenu : |
Summary :
1. Introduction.
2. Classical sets and fuzzy sets.
3. Classical relations and fuzzy relations
4. Properties of membership functions, fuzzification, and defuzzification
5. Logic and fuzzy systems
6. Development of membership functions
7. Automated methods for fuzzy systems
8. Fuzzy systems simulation
9. Decision making with fuzzy information
10. Fuzzy classification
11. Fuzzy pattern recognition
12. Fuzzy arithmetic and the extension principle
13. Fuzzy control systems
14. Miscellaneous topics
15. Monotone measures: belief, plausibility, probability, and possibility |
| ISBN 13 : |
978-0470743768 |
Fuzzy logic with engineering applications [texte imprimé] / Ross, Timothy J., Auteur . - 3rd ed. . - New York : John Wiley, 2010 . - XXI, 585 p : ill ; 25 cm. ISBN : 978-0-470-74376-8 Bibliogr. - Index Langues : Anglais ( eng)
| Mots-clés : |
Engineering mathematics
Fuzzy logic
Logique symbolique et mathématique
Logique floue |
| Index. décimale : |
681.51 Systemes de régulation automatique en général.caractéristiques techniques de la cybernétique |
| Résumé : |
Fuzzy logic is a relatively new discipline in which major advances have been made over the last decade or so with regard to theory and applications. Following on from the successful first edition, this fully updated new edition is therefore very timely and much anticipated. Concentration on the topics of fuzzy logic combined with an abundance of worked examples, chapter problems and commercial case studies is designed to help motivate a mainstream engineering audience, and the book is further strengthened by the inclusion of an online solutions manual as well as dedicated software codes.
Senior undergraduate and postgraduate students in most engineering disciplines
academics and practicing engineers, plus some working in economics, control theory, operational research etc, will all find this a valuable addition to their bookshelves. --Ce texte fait référence à une édition épuisée ou non disponible de ce titre.
Fuzzy logic is a simple phrase that actually refers to a large subject dealing with a set of methods to characterize and quantify uncertainty in engineering systems that arise from ambiguity, imprecision, fuzziness, and lack of knowledge.
This 15-chapter textbook remains the only major text that can be used for both undergraduate and graduate classroom instruction in this technology field. The first 8 chapters of the text cover fundamental materials useful in characterizing various forms of uncertainty and in developing the methods to quantify these uncertainties. Four chapters present specific case studies in decision making, classification and pattern recognition, control, simulation, and fuzzy arithmetic. There is one chapter on miscellaneous applications of fuzzy logic, one chapter on new rule-reduction techniques, and the final chapter presents material on other uncertainty theories with examples using evidence theory, possibility theory, and probability theory.This book will appeal to senior undergraduate and graduate students in engineering, and to graduate students in many other scientific fields. Practitioners in control theory, classification, systems integration and systems modeling and operations research application will also find this a useful text. --Ce texte fait référence à une édition épuisée ou non disponible de ce titre. |
| Note de contenu : |
Summary :
1. Introduction.
2. Classical sets and fuzzy sets.
3. Classical relations and fuzzy relations
4. Properties of membership functions, fuzzification, and defuzzification
5. Logic and fuzzy systems
6. Development of membership functions
7. Automated methods for fuzzy systems
8. Fuzzy systems simulation
9. Decision making with fuzzy information
10. Fuzzy classification
11. Fuzzy pattern recognition
12. Fuzzy arithmetic and the extension principle
13. Fuzzy control systems
14. Miscellaneous topics
15. Monotone measures: belief, plausibility, probability, and possibility |
| ISBN 13 : |
978-0470743768 |
|  |
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