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An Introduction to Fuzzy Logic Applications in Intelligent Systems

An Introduction to Fuzzy Logic Applications in Intelligent Systems
Author: Ronald R. Yager
Publisher: Springer Science & Business Media
Total Pages: 358
Release: 2012-12-06
Genre: Computers
ISBN: 1461536405

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An Introduction to Fuzzy Logic Applications in Intelligent Systems consists of a collection of chapters written by leading experts in the field of fuzzy sets. Each chapter addresses an area where fuzzy sets have been applied to situations broadly related to intelligent systems. The volume provides an introduction to and an overview of recent applications of fuzzy sets to various areas of intelligent systems. Its purpose is to provide information and easy access for people new to the field. The book also serves as an excellent reference for researchers in the field and those working in the specifics of systems development. People in computer science, especially those in artificial intelligence, knowledge-based systems, and intelligent systems will find this to be a valuable sourcebook. Engineers, particularly control engineers, will also have a strong interest in this book. Finally, the book will be of interest to researchers working in decision support systems, operations research, decision theory, management science and applied mathematics. An Introduction to Fuzzy Logic Applications in Intelligent Systems may also be used as an introductory text and, as such, it is tutorial in nature.


Fuzzy Logic Applications in Engineering Science

Fuzzy Logic Applications in Engineering Science
Author: J. Harris
Publisher: Springer Science & Business Media
Total Pages: 232
Release: 2006-01-17
Genre: Technology & Engineering
ISBN: 1402040784

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Fuzzy logic is a relatively new concept in science applications. Hitherto, fuzzy logic has been a conceptual process applied in the field of risk management. Its potential applicability is much wider than that, however, and its particular suitability for expanding our understanding of processes and information in science and engineering in our post-modern world is only just beginning to be appreciated. Written as a companion text to the author’s earlier volume "An Introduction to Fuzzy Logic Applications", the book is aimed at professional engineers and students and those with an interest in exploring the potential of fuzzy logic as an information processing kit with a wide variety of practical applications in the field of engineering science and develops themes and topics introduced in the author’s earlier text.


Fuzzy Logic and its Applications to Engineering, Information Sciences, and Intelligent Systems

Fuzzy Logic and its Applications to Engineering, Information Sciences, and Intelligent Systems
Author: Zeungnam Bien
Publisher: Springer Science & Business Media
Total Pages: 472
Release: 2012-12-06
Genre: Mathematics
ISBN: 9400901259

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Fuzzy technology has emerged as one of the most exciting new concepts available. Fuzzy Logic and its Applications... covers a wide range of the theory and applications of fuzzy logic and related systems, including industrial applications of fuzzy technology, implementing human intelligence in machines and systems. There are four main themes: intelligent systems, engineering, mathematical foundations, and information sciences. Both academics and the technical community will learn how and why fuzzy logic is appreciated in the conceptual, design and manufacturing stages of intelligent systems, gaining an improved understanding of the basic science and the foundations of human reasoning.


Intelligent Control

Intelligent Control
Author: Clarence W. de Silva
Publisher: CRC Press
Total Pages: 218
Release: 2018-05-02
Genre: Computers
ISBN: 1351437682

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The emergence of fuzzy logic and its applications has dramatically changed the face of industrial control engineering. Over the last two decades, fuzzy logic has allowed control engineers to meet and overcome the challenges of developing effective controllers for increasingly complex systems with poorly defined dynamics. Today's engineers need a working knowledge of the principles and techniques of fuzzy logic-Intelligent Control provides it. The author first introduces the traditional control techniques and contrasts them with intelligent control. He then presents several methods of representing and processing knowledge and introduces fuzzy logic as one such method. He highlights the advantages of fuzzy logic over other techniques, indicates its limitations, and describes in detail a hierarchical control structure appropriate for use in intelligent control systems. He introduces a variety of applications, most in the areas of robotics and mechatronics but with others including air conditioning and process/production control. One appendix provides discussion of some advanced analytical concepts of fuzzy logic, another describes a commercially available software system for developing fuzzy logic application. Intelligent Control is filled with worked examples, exercises, problems, and references. No prior knowledge of the subject nor advanced mathematics are needed to comprehend much of the book, making it well-suited as a senior undergraduate or first-year graduate text and a convenient reference tool for practicing professionals.


Fuzzy Intelligent Systems

Fuzzy Intelligent Systems
Author: E. Chandrasekaran
Publisher: John Wiley & Sons
Total Pages: 482
Release: 2021-09-08
Genre: Computers
ISBN: 1119760453

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FUZZY INTELLIGENT SYSTEMS A comprehensive guide to Expert Systems and Fuzzy Logic that is the backbone of artificial intelligence. The objective in writing the book is to foster advancements in the field and help disseminate results concerning recent applications and case studies in the areas of fuzzy logic, intelligent systems, and web-based applications among working professionals and those in education and research covering a broad cross section of technical disciplines. Fuzzy Intelligent Systems: Methodologies, Techniques, and Applications comprises state-of-the-art chapters detailing how expert systems are built and how the fuzzy logic resembling human reasoning, powers them. Engineers, both current and future, need systematic training in the analytic theory and rigorous design of fuzzy control systems to keep up with and advance the rapidly evolving field of applied control technologies. As a consequence, expert systems with fuzzy logic capabilities make for a more versatile and innovative handling of problems. This book showcases the combination of fuzzy logic and neural networks known as a neuro-fuzzy system, which results in a hybrid intelligent system by combining a human-like reasoning style of neural networks. Audience Researchers and students in computer science, Internet of Things, artificial intelligence, machine learning, big data analytics and information and communication technology-related fields. Students will gain a thorough understanding of fuzzy control systems theory by mastering its contents.


An Introduction to Fuzzy Logic for Practical Applications

An Introduction to Fuzzy Logic for Practical Applications
Author: Kazuo Tanaka
Publisher: Springer
Total Pages: 148
Release: 1996-12-01
Genre: Computers
ISBN: 0387948074

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Fuzzy logic has become an important tool for a number of different applications ranging from the control of engineering systems to artificial intelligence. In this concise introduction, the author presents a succinct guide to the basic ideas of fuzzy logic, fuzzy sets, fuzzy relations, and fuzzy reasoning, and shows how they may be applied. The book culminates in a chapter which describes fuzzy logic control: the design of intelligent control systems using fuzzy if-then rules which make use of human knowledge and experience to behave in a manner similar to a human controller. Throughout, the level of mathematical knowledge required is kept basic and the concepts are illustrated with numerous diagrams to aid in comprehension. As a result, all those curious to know more about fuzzy concepts and their real-world application will find this a good place to start.


Readings in Fuzzy Sets for Intelligent Systems

Readings in Fuzzy Sets for Intelligent Systems
Author: Didier J. Dubois
Publisher: Morgan Kaufmann
Total Pages: 929
Release: 2014-05-12
Genre: Computers
ISBN: 1483214508

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Readings in Fuzzy Sets for Intelligent Systems is a collection of readings that explore the main facets of fuzzy sets and possibility theory and their use in intelligent systems. Basic notions in fuzzy set theory are discussed, along with fuzzy control and approximate reasoning. Uncertainty and informativeness, information processing, and membership, cognition, neural networks, and learning are also considered. Comprised of eight chapters, this book begins with a historical background on fuzzy sets and possibility theory, citing some forerunners who discussed ideas or formal definitions very close to the basic notions introduced by Lotfi Zadeh (1978). The reader is then introduced to fundamental concepts in fuzzy set theory, including symmetric summation and the setting of fuzzy logic; uncertainty and informativeness; and fuzzy control. Subsequent chapters deal with approximate reasoning; information processing; decision and management sciences; and membership, cognition, neural networks, and learning. Numerical methods for fuzzy clustering are described, and adaptive inference in fuzzy knowledge networks is analyzed. This monograph will be of interest to both students and practitioners in the fields of computer science, information science, applied mathematics, and artificial intelligence.


Industrial Applications of Fuzzy Logic and Intelligent Systems

Industrial Applications of Fuzzy Logic and Intelligent Systems
Author: John Yen
Publisher: Institute of Electrical & Electronics Engineers(IEEE)
Total Pages: 414
Release: 1995
Genre: Computers
ISBN:

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Introduction to fuzzy logic control. History of industrial applications of fuzzy logic in Japan. Fuzzy logic applications at OMRON Corporation. Survey of fuzzy logic applications in image-processing equipment. Applications of neural networks and fuzzy logic to consumer products. Knowledge processing based on fuzzy associative memory and its application to a helicopter control. Fuzzy logic hierarchical controller for a recuperative turboshaft engine: from mode selection to mode melding. Progress in reseacrh on autonomous vehicle motion planning. Autonomous navigation of a mobile robot using the behaviorist theory and VLSI fuzzy inferencing chips. Artificial intelligence, fuzzy logic, and sensor clusters. Intelligent sensor systems for space operations. Two automated tuning methods for fuzzy logic-based process control. On fuzzy control of nonchlorofluorocarbon air-conditioning systems. Fuzzy logic applications in Europe. Software tools for fuzzy control.


An Introduction to Fuzzy Logic and Fuzzy Sets

An Introduction to Fuzzy Logic and Fuzzy Sets
Author: James J. Buckley
Publisher: Springer Science & Business Media
Total Pages: 287
Release: 2013-11-11
Genre: Computers
ISBN: 3790817996

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This book is an excellent starting point for any curriculum in fuzzy systems fields such as computer science, mathematics, business/economics and engineering. It covers the basics leading to: fuzzy clustering, fuzzy pattern recognition, fuzzy database, fuzzy image processing, soft computing, fuzzy applications in operations research, fuzzy decision making, fuzzy rule based systems, fuzzy systems modeling, fuzzy mathematics. It is not a book designed for researchers - it is where you really learn the "basics" needed for any of the above-mentioned applications. It includes many figures and problem sets at the end of sections.