Fuzzy Intelligent Systems

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Fuzzy Logic and Intelligent Systems

Hua Harry Li,Madan M. Gupta
Fuzzy Logic and Intelligent Systems Book PDF

Author : Hua Harry Li,Madan M. Gupta
Publisher : Springer Science & Business Media
Page : 455 pages
File Size : 47,8 Mb
Release : 2007-07-07
Category : Mathematics
ISBN : 9780585280004

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Fuzzy Logic and Intelligent Systems by Hua Harry Li,Madan M. Gupta Pdf

One of the attractions of fuzzy logic is its utility in solving many real engineering problems. As many have realised, the major obstacles in building a real intelligent machine involve dealing with random disturbances, processing large amounts of imprecise data, interacting with a dynamically changing environment, and coping with uncertainty. Neural-fuzzy techniques help one to solve many of these problems. Fuzzy Logic and Intelligent Systems reflects the most recent developments in neural networks and fuzzy logic, and their application in intelligent systems. In addition, the balance between theoretical work and applications makes the book suitable for both researchers and engineers, as well as for graduate students.

Fuzzy and Neuro-Fuzzy Intelligent Systems

Ernest Czogala,Jacek Leski
Fuzzy and Neuro Fuzzy Intelligent Systems Book PDF

Author : Ernest Czogala,Jacek Leski
Publisher : Physica
Page : 207 pages
File Size : 45,9 Mb
Release : 2012-08-10
Category : Computers
ISBN : 9783790818536

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Fuzzy and Neuro-Fuzzy Intelligent Systems by Ernest Czogala,Jacek Leski Pdf

Intelligence systems. We perfonn routine tasks on a daily basis, as for example: • recognition of faces of persons (also faces not seen for many years), • identification of dangerous situations during car driving, • deciding to buy or sell stock, • reading hand-written symbols, • discriminating between vines made from Sauvignon Blanc, Syrah or Merlot grapes, and others. Human experts carry out the following: • diagnosing diseases, • localizing faults in electronic circuits, • optimal moves in chess games. It is possible to design artificial systems to replace or "duplicate" the human expert. There are many possible definitions of intelligence systems. One of them is that: an intelligence system is a system able to make decisions that would be regarded as intelligent ifthey were observed in humans. Intelligence systems adapt themselves using some example situations (inputs of a system) and their correct decisions (system's output). The system after this learning phase can make decisions automatically for future situations. This system can also perfonn tasks difficult or impossible to do for humans, as for example: compression of signals and digital channel equalization.

An Introduction to Fuzzy Logic Applications in Intelligent Systems

Ronald R. Yager,Lotfi A. Zadeh
An Introduction to Fuzzy Logic Applications in Intelligent Systems Book PDF

Author : Ronald R. Yager,Lotfi A. Zadeh
Publisher : Springer Science & Business Media
Page : 358 pages
File Size : 51,9 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461536406

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An Introduction to Fuzzy Logic Applications in Intelligent Systems by Ronald R. Yager,Lotfi A. Zadeh Pdf

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 Intelligent Systems

E. Chandrasekaran,R. Anandan,G. Suseendran,S. Balamurugan,Hanaa Hachimi
Fuzzy Intelligent Systems Book PDF

Author : E. Chandrasekaran,R. Anandan,G. Suseendran,S. Balamurugan,Hanaa Hachimi
Publisher : John Wiley & Sons
Page : 482 pages
File Size : 53,8 Mb
Release : 2021-09-08
Category : Computers
ISBN : 9781119760450

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Fuzzy Intelligent Systems by E. Chandrasekaran,R. Anandan,G. Suseendran,S. Balamurugan,Hanaa Hachimi Pdf

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.

Fuzzy Neural Intelligent Systems

Hongxing Li,C.L. Philip Chen,Han-Pang Huang
Fuzzy Neural Intelligent Systems Book PDF

Author : Hongxing Li,C.L. Philip Chen,Han-Pang Huang
Publisher : CRC Press
Page : 219 pages
File Size : 47,7 Mb
Release : 2018-10-03
Category : Computers
ISBN : 9781351835152

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Fuzzy Neural Intelligent Systems by Hongxing Li,C.L. Philip Chen,Han-Pang Huang Pdf

Although fuzzy systems and neural networks are central to the field of soft computing, most research work has focused on the development of the theories, algorithms, and designs of systems for specific applications. There has been little theoretical support for fuzzy neural systems, especially their mathematical foundations. Fuzzy Neural Intelligent Systems fills this gap. It develops a mathematical basis for fuzzy neural networks, offers a better way of combining fuzzy logic systems with neural networks, and explores some of their engineering applications. Dividing their focus into three main areas of interest, the authors give a systematic, comprehensive treatment of the relevant concepts and modern practical applications: Fundamental concepts and theories for fuzzy systems and neural networks. Foundation for fuzzy neural networks and important related topics Case examples for neuro-fuzzy systems, fuzzy systems, neural network systems, and fuzzy-neural systems Suitable for self-study, as a reference, and ideal as a textbook, Fuzzy Neural Intelligent Systems is accessible to students with a basic background in linear algebra and engineering mathematics. Mastering the material in this textbook will prepare students to better understand, design, and implement fuzzy neural systems, develop new applications, and further advance the field.

Readings in Fuzzy Sets for Intelligent Systems

Didier J. Dubois,Henri Prade,Ronald R. Yager
Readings in Fuzzy Sets for Intelligent Systems Book PDF

Author : Didier J. Dubois,Henri Prade,Ronald R. Yager
Publisher : Morgan Kaufmann
Page : 929 pages
File Size : 50,9 Mb
Release : 2014-05-12
Category : Computers
ISBN : 9781483214504

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Readings in Fuzzy Sets for Intelligent Systems by Didier J. Dubois,Henri Prade,Ronald R. Yager Pdf

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.

Neural Fuzzy Systems

Ching Tai Lin,C. S. George Lee
Neural Fuzzy Systems Book PDF

Author : Ching Tai Lin,C. S. George Lee
Publisher : Prentice Hall
Page : 824 pages
File Size : 51,5 Mb
Release : 1996
Category : Computers
ISBN : STANFORD:36105018323233

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Neural Fuzzy Systems by Ching Tai Lin,C. S. George Lee Pdf

Neural Fuzzy Systems provides a comprehensive, up-to-date introduction to the basic theories of fuzzy systems and neural networks, as well as an exploration of how these two fields can be integrated to create Neural-Fuzzy Systems. It includes Matlab software, with a Neural Network Toolkit, and a Fuzzy System Toolkit.

Intelligent Systems

Yung C. Shin,Chengying Xu
Intelligent Systems Book PDF

Author : Yung C. Shin,Chengying Xu
Publisher : CRC Press
Page : 456 pages
File Size : 45,6 Mb
Release : 2017-12-19
Category : Technology & Engineering
ISBN : 9781420051773

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Intelligent Systems by Yung C. Shin,Chengying Xu Pdf

Providing a thorough introduction to the field of soft computing techniques, Intelligent Systems: Modeling, Optimization, and Control covers every major technique in artificial intelligence in a clear and practical style. This book highlights current research and applications, addresses issues encountered in the development of applied systems, and describes a wide range of intelligent systems techniques, including neural networks, fuzzy logic, evolutionary strategy, and genetic algorithms. The book demonstrates concepts through simulation examples and practical experimental results. Case studies are also presented from each field to facilitate understanding.

Fuzzy Logic in Intelligent System Design

Patricia Melin,Oscar Castillo,Janusz Kacprzyk,Marek Reformat,William Melek
Fuzzy Logic in Intelligent System Design Book PDF

Author : Patricia Melin,Oscar Castillo,Janusz Kacprzyk,Marek Reformat,William Melek
Publisher : Springer
Page : 422 pages
File Size : 44,5 Mb
Release : 2017-09-30
Category : Technology & Engineering
ISBN : 9783319671376

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Fuzzy Logic in Intelligent System Design by Patricia Melin,Oscar Castillo,Janusz Kacprzyk,Marek Reformat,William Melek Pdf

This book describes recent advances in the use of fuzzy logic for the design of hybrid intelligent systems based on nature-inspired optimization and their applications in areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. Based on papers presented at the North American Fuzzy Information Processing Society Annual Conference (NAFIPS 2017), held in Cancun, Mexico from 16 to 18 October 2017, the book is divided into nine main parts, the first of which first addresses theoretical aspects, and proposes new concepts and algorithms based on type-1 fuzzy systems. The second part consists of papers on new concepts and algorithms for type-2 fuzzy systems, and on applications of type-2 fuzzy systems in diverse areas, such as time series prediction and pattern recognition. In turn, the third part contains papers that present enhancements to meta-heuristics based on fuzzy logic techniques describing new nature-inspired optimization algorithms that use fuzzy dynamic adaptation of parameters. The fourth part presents emergent intelligent models, which range from quantum algorithms to cellular automata. The fifth part explores applications of fuzzy logic in diverse areas of medicine, such as the diagnosis of hypertension and heart diseases. The sixth part describes new computational intelligence algorithms and their applications in different areas of intelligent control, while the seventh examines the use of fuzzy logic in different mathematic models. The eight part deals with a diverse range of applications of fuzzy logic, ranging from environmental to autonomous navigation, while the ninth covers theoretical concepts of fuzzy models

Industrial Applications of Fuzzy Logic and Intelligent Systems

John Yen,Reza Langari,Lotfi Asker Zadeh
Industrial Applications of Fuzzy Logic and Intelligent Systems Book PDF

Author : John Yen,Reza Langari,Lotfi Asker Zadeh
Publisher : Institute of Electrical & Electronics Engineers(IEEE)
Page : 414 pages
File Size : 47,9 Mb
Release : 1995
Category : Computers
ISBN : STANFORD:36105018403126

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Industrial Applications of Fuzzy Logic and Intelligent Systems by John Yen,Reza Langari,Lotfi Asker Zadeh Pdf

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.

Intelligent Systems for Engineers and Scientists

Adrian A. Hopgood
Intelligent Systems for Engineers and Scientists Book PDF

Author : Adrian A. Hopgood
Publisher : CRC Press
Page : 455 pages
File Size : 41,9 Mb
Release : 2012-02-02
Category : Computers
ISBN : 9781466516175

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Intelligent Systems for Engineers and Scientists by Adrian A. Hopgood Pdf

The third edition of this bestseller examines the principles of artificial intelligence and their application to engineering and science, as well as techniques for developing intelligent systems to solve practical problems. Covering the full spectrum of intelligent systems techniques, it incorporates knowledge-based systems, computational intelligence, and their hybrids. Using clear and concise language, Intelligent Systems for Engineers and Scientists, Third Edition features updates and improvements throughout all chapters. It includes expanded and separated chapters on genetic algorithms and single-candidate optimization techniques, while the chapter on neural networks now covers spiking networks and a range of recurrent networks. The book also provides extended coverage of fuzzy logic, including type-2 and fuzzy control systems. Example programs using rules and uncertainty are presented in an industry-standard format, so that you can run them yourself. The first part of the book describes key techniques of artificial intelligence—including rule-based systems, Bayesian updating, certainty theory, fuzzy logic (types 1 and 2), frames, objects, agents, symbolic learning, case-based reasoning, genetic algorithms, optimization algorithms, neural networks, hybrids, and the Lisp and Prolog languages. The second part describes a wide range of practical applications in interpretation and diagnosis, design and selection, planning, and control. The author provides sufficient detail to help you develop your own intelligent systems for real applications. Whether you are building intelligent systems or you simply want to know more about them, this book provides you with detailed and up-to-date guidance. Check out the significantly expanded set of free web-based resources that support the book at: http://www.adrianhopgood.com/aitoolkit/

Fuzzy Logic Applications in Engineering Science

J. Harris
Fuzzy Logic Applications in Engineering Science Book PDF

Author : J. Harris
Publisher : Springer Science & Business Media
Page : 232 pages
File Size : 47,9 Mb
Release : 2006-01-17
Category : Technology & Engineering
ISBN : 9781402040788

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Fuzzy Logic Applications in Engineering Science by J. Harris Pdf

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

Zeungnam Bien,K.C. Min
Fuzzy Logic and its Applications to Engineering Information Sciences and Intelligent Systems Book PDF

Author : Zeungnam Bien,K.C. Min
Publisher : Springer Science & Business Media
Page : 472 pages
File Size : 46,6 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9789400901254

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Fuzzy Logic and its Applications to Engineering, Information Sciences, and Intelligent Systems by Zeungnam Bien,K.C. Min Pdf

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.

Recent Advances in Interval Type-2 Fuzzy Systems

Oscar Castillo,Patricia Melin
Recent Advances in Interval Type 2 Fuzzy Systems Book PDF

Author : Oscar Castillo,Patricia Melin
Publisher : Springer Science & Business Media
Page : 93 pages
File Size : 47,8 Mb
Release : 2012-04-23
Category : Technology & Engineering
ISBN : 9783642289569

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Recent Advances in Interval Type-2 Fuzzy Systems by Oscar Castillo,Patricia Melin Pdf

This book reviews current state of the art methods for building intelligent systems using type-2 fuzzy logic and bio-inspired optimization techniques. Combining type-2 fuzzy logic with optimization algorithms, powerful hybrid intelligent systems have been built using the advantages that each technique offers. This book is intended to be a reference for scientists and engineers interested in applying type-2 fuzzy logic for solving problems in pattern recognition, intelligent control, intelligent manufacturing, robotics and automation. This book can also be used as a reference for graduate courses like the following: soft computing, intelligent pattern recognition, computer vision, applied artificial intelligence, and similar ones. We consider that this book can also be used to get novel ideas for new lines of re-search, or to continue the lines of research proposed by the authors.

Intelligent and Fuzzy Techniques: Smart and Innovative Solutions

Cengiz Kahraman,Sezi Cevik Onar,Basar Oztaysi,Irem Ucal Sari,Selcuk Cebi,A. Cagri Tolga
Intelligent and Fuzzy Techniques Smart and Innovative Solutions Book PDF

Author : Cengiz Kahraman,Sezi Cevik Onar,Basar Oztaysi,Irem Ucal Sari,Selcuk Cebi,A. Cagri Tolga
Publisher : Springer Nature
Page : 1701 pages
File Size : 40,9 Mb
Release : 2020-07-10
Category : Technology & Engineering
ISBN : 9783030511562

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Intelligent and Fuzzy Techniques: Smart and Innovative Solutions by Cengiz Kahraman,Sezi Cevik Onar,Basar Oztaysi,Irem Ucal Sari,Selcuk Cebi,A. Cagri Tolga Pdf

This book gathers the most recent developments in fuzzy & intelligence systems and real complex systems presented at INFUS 2020, held in Istanbul on July 21–23, 2020. The INFUS conferences are a well-established international research forum to advance the foundations and applications of intelligent and fuzzy systems, computational intelligence, and soft computing, highlighting studies on fuzzy & intelligence systems and real complex systems at universities and international research institutions. Covering a range of topics, including the theory and applications of fuzzy set extensions such as intuitionistic fuzzy sets, hesitant fuzzy sets, spherical fuzzy sets, and fuzzy decision-making; machine learning; risk assessment; heuristics; and clustering, the book is a valuable resource for academics, M.Sc. and Ph.D. students, as well as managers and engineers in industry and the service sectors.