One more step

Please complete the security check to

Please stand by,while we are checking your browser...

Why do I have to complete a CAPTCHA?

Completing the CAPTCHA proves you are a human and gives you temporary access to the web property.

What can I do to prevent this in the future?

If you are on a personal connection,like at home,you can run an anti-virus scan on your device to make sure it is not infected with malware.

If you are at an office or shared network,you can ask the network administrator to run a scan across the network looking for misconfigured or infected devices.

.navigation .menu > li > a { text-decoration: none; line-height: 30px; margin-bottom: -2px; border-left: 1px solid #d2d2d2; padding: 0px 8px; font-size: 93%; letter-spacing: 0.1px; } .navigation .menu { font-family: "Roboto",Arial,sans-serif; font-weight: 500; font-size: 14px; }

Fuzzy Logic with Engineering Applicaiton – Timothy J. Ross – 2nd Edition


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 is a reasoning 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 solutions manual as well as dedicated software codes.

Senior undergraduate and postgraduate 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.

Table of Contents

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.
Inline Feedbacks
View all comments

DISCLAIMER: All information on the website is for private and non-commercial use only. All content on this website is for educational purposes only. There are no files hosted on our server, links are provided only by users of this site, and administrators of this site are not responsible for links posted by users. If you are the owner of any information shared on this website and you want us to remove it, do not hesitate to contact us.

Would love your thoughts, please comment.x