Fuzzy logic with engineering applications

著者

書誌事項

Fuzzy logic with engineering applications

Timothy J. Ross

J. Wiley, c2004

2nd ed

  • :pbk

大学図書館所蔵 件 / 全5件

この図書・雑誌をさがす

注記

Includes bibliographical references and indexes

内容説明・目次

巻冊次

ISBN 9780470860748

内容説明

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.

目次

Chapter 1 Introduction. Chapter 2 Set Theory. Chapter 3 Relations. Chapter 4 Fuzzification and Defuzzification Methods. Chapter 5 Logic and Fuzzy Systems. Chapter 6 Membership Function Development. Chapter 7 Automated Methods for Generating Rules and Membership Functions. Chapter 8 Fuzzy Systems Simulation. Chapter 9 Rule-base Reduction. Chapter 10 Decision Making. Chapter 11 Classification and Pattern Recognition. Chapter 12 Fuzzy Arithmetic. Chapter 13 Fuzzy Control. Chapter 14 Miscellaneous Fuzzy Applications. Chapter 15 Alternative Methods: Generalized Information Theories. APPENDICES: Answers to selected exercise problems. Axiomatic differences between fuzzy set theory and probability theory. INDEX.
巻冊次

:pbk ISBN 9780470860755

内容説明

Fuzzy logic 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. Fuzzy logic is a reasoning system based on a foundation of fuzzy set theory, itself an extension of classical set theory, where set membership can be partial as opposed to all or none, as in the binary features of classical logic. 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.

目次

About the Author.Preface to the Second Edition.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. Rule-base Reduction Methods.10. Decision Making with Fuzzy Information.11. Fuzzy Classification and Pattern Recognition.12. Fuzzy Arithmetic and the Extension Principle.13. Fuzzy Control Systems.14. Miscellaneous Topics.15. Monotone Measures: Belief, Plausibility, Probability, and Possibility.Appendix A: Axiomatic Differences between Fuzzy Set Theory and Probability Theory.Appendix B: Answers to Selected Problems.Index of Examples and Problems by Discipline.Index.

「Nielsen BookData」 より

詳細情報

ページトップへ