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Presents detailed coverage of new applications that deliver exceptionally high levels of autonomy and adaptability. Brings together stateof-the-art work in industry and academia worldwide. DLC: Intelligence.
"synopsis" may belong to another edition of this title.
From the Publisher:
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
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
"About this title" may belong to another edition of this title.
- PublisherPrentice Hall
- Publication date1997
- ISBN 10 0133628310
- ISBN 13 9780133628319
- BindingHardcover
- Edition number1
- Number of pages448
- EditorJamshidi Mohammad, Titli Andre, Zadeh Lotfi, Boverie Serge
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