Fuzzy Logic with Engineering Applications - Hardcover

Ross, Timothy J.

Hardcover

ISBN 10: 047086074X ISBN 13: 9780470860748

Publisher: Wiley–Blackwell, 2004

Synopsis

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.

About this title

Review

"...an excellent textbook for engineering students as well as a useful resource for practicing professionals in the various engineering areas. In fact, there is no other book on the market that can compete with it for this audience." (International Journal of General Systems, June 2005)

From the Back Cover

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.

Edition details

• Publisher: Wiley–Blackwell
• Publication date: 2004
• ISBN 10: 047086074X
• ISBN 13: 9780470860748
• Binding: Hardcover
• Language: English
• Edition number: 2
• Number of pages: 650