Applications of Fuzzy Logic: Towards High Machine Intelligence Quotient Systems [Textbook Binding]

Mohammad Jamshidi (Author), Lofti A. Zadeh (Author), Andre Titli (Author)

Book Description

ISBN-10: 0133628310 | ISBN-13: 978-0133628319 | Publication Date: January 15, 1997 | Edition: 1st

36283-0 In Applications of Fuzzy Logic, the world's leading fuzzy logic experts present detailed coverage of new applications that deliver exceptionally high levels of autonomy and adaptability. These High Machine Intelligence Quotient Systems(r) combine fuzzy logic with related techniques such as neural networks and genetic algorithms, leading to significantly improved performance in a wide variety of control systems. Applications of Fuzzy Logic brings together state-of-the-art work in industry and academia worldwide, and is edited by a team of experts that includes Lotfi Zadeh, the father of fuzzy logic. This compilation largely avoids theory, focusing instead on applications and methodology in a wide range of fields, including automotive systems, transportation problems, and mobile robotics. Among the applications presented are: * Intelligent control and evolution of mobile robot behavior * Neuro-fuzzy strategies for urban traffic noise monitoring * Automotive powertrain and suspension systems * Fuzzy control of heavy-duty hydraulic machines * Managing uncertainty in sensor-based motion planning Over the past several years, the tools available to fuzzy logic practitioners have expanded dramatically. This book presents broad coverage of new techniques such as: * Synergistic fuzzy control, where a hierarchical cluster of fuzzy controllers cooperate to deliver global results in complex systems * Fuzzy maps that can help manage uncertainty in motion sensors * Fuzzy predictive control for nonlinear systems * Fuzzy contract nets that negotiate to solve manufacturing problems * Improved fuzzy neuron techniques with their associated learning algorithms * Fuzzy moves, based in part on classical game theory Both industry professionals and academicians will agree: Applications of Fuzzy Logic is the most detailed, up-to-date and useful review of fuzzy logic applications available.

Editorial Reviews

From the Publisher

The objective of this volume is to bring to the attention of the readers some of the latest and perhaps non-traditional applications of fuzzy logic. This is one of the first volumes in which MIQ (Machine Intelligent Quotient) is brought to the attention of the scientific community. Most of the applications in this volume are hardware oriented. This book consists of 20 chapters, each chapter covers an application, and is authored by a contributor. Fuzzy technology is a multi-billion dollar Industry spanning the entire globe: from automatic transmissions of car engines to zoom control of hand-held cameras.

From the Inside Flap

Fuzzy set theory has rapidly grown to become a major scientific domain collectively called “fuzzy systems” or “fuzzy logic.” In a broad sense, fuzzy logic refers to fuzzy sets - a set with unsharp boundaries. Examples of fuzzy sets are “hot,” “tall,” “medium,” etc. In a narrow sense, fuzzy logic is a logical system that aims to formalize approximate reasoning. As such, it is multivalued logic, but its agenda is quite different from that of traditional multivalued logical systems such as three-level logic of Lukasiewicz.

In fact, fuzzy sets are much broader than fuzzy logic in the narrow sense and contain the latter as one of its branches. Other branches are fuzzy arithmetic, fuzzy mathematical programming, fuzzy topology, fuzzy pattern recognition, fuzzy optimization, fuzzy data analysis, fuzzy control, etc.

The year 1990 was considered as the beginning of an era and trend in the design of new products - appliances, consumer electronic devices, and like. The trend defers to the marked increase with MIQ¨ -Machine Intelligence Quotient. Applications of fuzzy systems technology are so vast that a single book can no longer give a comprehensive treatment of even a majority of relevant applications.

Since the launching of the Sputnik four decades ago, great progress has been achieved in the understanding of how to model, identify, control, and implement digital controllers for complex large-scale systems.

However, to be able to design systems having high MIQ,¨ a profound change in the orientation of control theory may be required. Fuzzy logic-unlike classical logic-is tolerant to imprecision, uncertainty, and partial truth. One of the earliest applications of fuzzy logic was the use of this technology to control a steam engine by Mamdani and his colleagues in 1974. Another major milestone, which actually started in 1977, was the application of fuzzy logic in the control of cement kilns by the Danish manufacturer of these plants, pioneered by Holblad and Ostergaard in 1982.

Today, fuzzy technology is a multibillion dollar industry spanning the entire globe. From automatic transmission of car engines to zoom control of hand-held cameras.

The objective of this volume is to bring to the attention of the readers some of the latest and perhaps nontraditional applications of fuzzy logic. This is one of the first volumes in which MIQ¨ is brought to the attention of the scientific community.

Most of the applications in this volume are hardware oriented, even though software applications are just as important. This volume assumes that the reader has a basic knowledge of fuzzy systems technology. Those who may need more knowledge can find it in Volumes 3 and 7 of this book series.

This volume was organized first while the first author was on sabbatical leave at the Laboratoire d'Analyse d'Architecture des Systmes (LAAS) of Centre National de la Recherche Scientifique (CNRS), Toulouse, France and at the same time visiting Siemens Automotive S. A., also in Toulouse. The volume was finished while the first author returned to the NASA Center for Autonomous Control Engineering (ACE) at the University of New Mexico.


The first author wishes to express his sincere appreciation to the French National Science Foundation (CNRS) and LAAS as well to the NASA Headquarters especially the Office of Equal Opportunity for their financial support. The support of NASA OEO headed by its Associate Administrator George Reese and the URC Program Director Bettie White is very much appreciated.

The editors wish to thank all the authors of this volume for their valuable contributions to the field in general and to this volume in particular. We would like to acknowledge the editorial assistance of Milton Lau of MKK for his excellent and professional typesetting of the manuscript and patience with all its revisions and alterations. The support and cooperation of Prentice Hall, especially Bernard Goodwin, Senior Editor and Vice President and the production staff of Prentice Hall PTR are appreciated. Last, but by no means least, we would liked to thank our families for their support and understanding.
Mo Jamshidi, Albuquerque, NM, US
Andre Titli, Toulouse, France
Lotfi Zadeh Berkeley, CA, USA
Serge Boverie, Toulouse, France

See all Editorial Reviews

Product Details

• Textbook Binding: 448 pages
• Publisher: Prentice Hall PTR; 1st edition (January 15, 1997)
• Language: English
• ISBN-10: 0133628310
• ISBN-13: 978-0133628319
• Product Dimensions: 9.6 x 7.1 x 0.9 inches
• Shipping Weight: 1.9 pounds
• Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
• Amazon Best Sellers Rank: #7,337,206 in Books (See Top 100 in Books)

Customer Reviews

Most Helpful Customer Reviews

4 of 4 people found the following review helpful:

5.0 out of 5 stars The book covers a wide range applications of fuzzy logic, March 26, 2000

By 

Amit Konar - See all my reviews

This review is from: Applications of Fuzzy Logic: Towards High Machine Intelligence Quotient Systems (Textbook Binding)

This is a very very interesting book that provides different applications of fuzzy logic for building intelligent machines. Special attraction of the book is the application of fuzzy tools in mobile robotics for sensory uncertainty management, path planning and navigation. The book is highly readable and requires a little backgrond of fuzzy sets and systems. The book is useful for practitioners of fuzzy sets, robotics and intelligent systems in general.I believe that the readers will enjoy reading this book.