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Author: Kazuo Tanaka
Publisher:
ISBN: 9780387994871
Category : Fuzzy logic
Languages : en
Pages : 138
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Book Description
Author: Kazuo Tanaka
Publisher:
ISBN: 9780387994871
Category : Fuzzy logic
Languages : en
Pages : 138
Get Book Here
Book Description
Author: Jenny Carter
Publisher: Springer Nature
ISBN: 3030664740
Category : Computers
Languages : en
Pages : 269
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Book Description
Since its inception, fuzzy logic has attracted an incredible amount of interest, and this interest continues to grow at an exponential rate. As such, scientists, researchers, educators and practitioners of fuzzy logic continue to expand on the applicability of what and how fuzzy can be utilised in the real-world. In this book, the authors present key application areas where fuzzy has had significant success. The chapters cover a plethora of application domains, proving credence to the versatility and robustness of a fuzzy approach. A better understanding of fuzzy will ultimately allow for a better appreciation of fuzzy. This book provides the reader with a varied range of examples to illustrate what fuzzy logic can be capable of and how it can be applied. The text will be ideal for individuals new to the notion of fuzzy, as well as for early career academics who wish to further expand on their knowledge of fuzzy applications. The book is also suitable as a supporting text for advanced undergraduate and graduate-level modules on fuzzy logic, soft computing, and applications of AI.
Author: George J. Klir
Publisher:
ISBN: 9789332549425
Category :
Languages : en
Pages : 574
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Book Description
Author: George Bojadziev
Publisher: World Scientific
ISBN: 9814499943
Category : Computers
Languages : en
Pages : 299
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Book Description
Fuzzy sets and fuzzy logic are powerful mathematical tools for modeling and controlling uncertain systems in industry, humanity, and nature; they are facilitators for approximate reasoning in decision making in the absence of complete and precise information. Their role is significant when applied to complex phenomena not easily described by traditional mathematics.The unique feature of the book is twofold: 1) It is the first introductory course (with examples and exercises) which brings in a systematic way fuzzy sets and fuzzy logic into the educational university and college system. 2) It is designed to serve as a basic text for introducing engineers and scientists from various fields to the theory of fuzzy sets and fuzzy logic, thus enabling them to initiate projects and make applications.
Author: Jerry Mendel
Publisher: John Wiley & Sons
ISBN: 1118901444
Category : Technology & Engineering
Languages : en
Pages : 470
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Book Description
An introductory book that provides theoretical, practical, and application coverage of the emerging field of type-2 fuzzy logic control Until recently, little was known about type-2 fuzzy controllers due to the lack of basic calculation methods available for type-2 fuzzy sets and logic—and many different aspects of type-2 fuzzy control still needed to be investigated in order to advance this new and powerful technology. This self-contained reference covers everything readers need to know about the growing field. Written with an educational focus in mind, Introduction to Type-2 Fuzzy Logic Control: Theory and Applications uses a coherent structure and uniform mathematical notations to link chapters that are closely related, reflecting the book’s central themes: analysis and design of type-2 fuzzy control systems. The book includes worked examples, experiment and simulation results, and comprehensive reference materials. The book also offers downloadable computer programs from an associated website. Presented by world-class leaders in type-2 fuzzy logic control, Introduction to Type-2 Fuzzy Logic Control: Is useful for any technical person interested in learning type-2 fuzzy control theory and its applications Offers experiment and simulation results via downloadable computer programs Features type-2 fuzzy logic background chapters to make the book self-contained Provides an extensive literature survey on both fuzzy logic and related type-2 fuzzy control Introduction to Type-2 Fuzzy Logic Control is an easy-to-read reference book suitable for engineers, researchers, and graduate students who want to gain deep insight into type-2 fuzzy logic control.
Author: Dong Xu
Publisher: World Scientific
ISBN: 1908978716
Category : Science
Languages : en
Pages : 246
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Book Description
Many biological systems and objects are intrinsically fuzzy as their properties and behaviors contain randomness or uncertainty. In addition, it has been shown that exact or optimal methods have significant limitation in many bioinformatics problems. Fuzzy set theory and fuzzy logic are ideal to describe some biological systems/objects and provide good tools for some bioinformatics problems. This book comprehensively addresses several important bioinformatics topics using fuzzy concepts and approaches, including measurement of ontological similarity, protein structure prediction/analysis, and microarray data analysis. It also reviews other bioinformatics applications using fuzzy techniques./a
Author: John Yen
Publisher: Institute of Electrical & Electronics Engineers(IEEE)
ISBN:
Category : Computers
Languages : en
Pages : 414
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Book Description
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.
Author: Ronald R. Yager
Publisher: Springer Science & Business Media
ISBN: 1461536405
Category : Computers
Languages : en
Pages : 358
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Book Description
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.
Author: Ahmad Ibrahim
Publisher: Newnes
ISBN: 9780750676052
Category : Computers
Languages : en
Pages : 316
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Book Description
Extensive coverage of both the theory and application of fuzzy logic design.
Author: Oscar Castillo
Publisher: Springer Science & Business Media
ISBN: 3540762833
Category : Mathematics
Languages : en
Pages : 252
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Book Description
This book describes new methods for building intelligent systems using type-2 fuzzy logic and soft computing (SC) techniques. The authors extend the use of fuzzy logic to a higher order, which is called type-2 fuzzy logic. Combining type-2 fuzzy logic with traditional SC techniques, we can build powerful hybrid intelligent systems that can use the advantages that each technique offers. This book is intended to be a major reference tool and can be used as a textbook.
