Ross Fuzzy Logic with Engineering Applications

4. Auflage 2016
ISBN: 978-1-119-23584-2
Verlag: John Wiley & Sons
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 584 Seiten, E-Book

Fuzzy Logic with Engineering Applications, Fourth Edition
Timothy J. Ross, University of New Mexico, USA
The latest update on this popular textbook
The importance of concepts and methods based on fuzzy logic and fuzzy set theory has been rapidly growing since the early 1990s and all the indications are that this trend will continue in the foreseeable future. Fuzzy Logic with Engineering Applications, Fourth Edition is a new edition of the popular textbook with 15% of new and updated material. Updates have been made to most of the chapters and each chapter now includes new end-of-chapter problems.
Key features:
* New edition of the popular textbook with 15% of new and updated material.
* Includes new examples and end-of-chapter problems.
* Has been made more concise with the removal of out of date material.
* Covers applications of fuzzy logic to engineering and science.
* Accompanied by a website hosting a solutions manual and software.
The book is essential reading for graduates and senior undergraduate students in civil, chemical, mechanical and electrical engineering as wells as researchers and practitioners working with fuzzy logic in industry.

Autoren/Hrsg.

Ross, Timothy J.

Inhaltsverzeichnis

About the Author
Preface to the Fourth Edition
Chapter 1 Introduction
Chapter 2 Classical Sets and Fuzzy Sets
Chapter 3 Classical Relations and Fuzzy Relations
Chapter 4 Properties of Membership Functions, Fuzzification, and Defuzzification
Chapter 5 Logic and Fuzzy Systems
Chapter 6 Historical Methods of Developing Membership Functions
Chapter 7 Automated Methods for Fuzzy Systems
Chapter 8 Fuzzy Systems Simulation
Chapter 9 Decision Making With Fuzzy Information
Chapter 10 Fuzzy Classification and Pattern Recognition
Chapter 11 Fuzzy Control Systems
Chapter 12 Applications of Fuzzy Systems Using Miscellaneous Models
Chapter 13 Monotone Measures: Belief, Plausibility, Probability, and Possibility
Index

Über Autor(innen)

Timothy J. Ross, University of New Mexico, USA
Dr. Ross is a professor within the Department of Civil Engineering at the University of New Mexico where he teaches courses in structural analysis, structural dynamics and fuzzy logic. He is a registered professional engineer with over 30 years' experience in the fields of computational mechanics, hazard survivability, structural dynamics, structural safety, stochastic processes, risk assessment, and fuzzy systems. He is also the founding Editor-in-Chief of the International Journal, Intelligent and Fuzzy Systems.