Fuzzy Reasoning in Information, Decision and Control Systems

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Publisher : Springer
ISBN 13 : 0585346526
Total Pages : 548 pages
Book Rating : 4.5/5 (853 download)

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Book Synopsis Fuzzy Reasoning in Information, Decision and Control Systems by : S.G. Tzafestas

Download or read book Fuzzy Reasoning in Information, Decision and Control Systems written by S.G. Tzafestas and published by Springer. This book was released on 2007-08-28 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt: Great progresses have been made in the application of fuzzy set theory and fuzzy logic. Most remarkable area of application is 'fuzzy control', where fuzzy logic was first applied to plant control systems and its use is expanding to consumer products. Most of fuzzy control systems uses fuzzy inference with max-min or max-product composition, similar to the algorithm that first used by Mamdani in 1970s. Some algorithms are developed to refine fuzzy controls systems but the main part of algorithm stays the same. Triggered by the success of fuzzy control systems, other ways of applying fuzzy set theory are also investigated. They are usually referred to as 'fuzzy expert sys tems', and their purpose are to combine the idea of fuzzy theory with AI based approach toward knowledge processing. These approaches can be more generally viewed as 'fuzzy information processing', that is to bring fuzzy idea into informa tion processing systems.

Fuzzy Reasoning in Information, Decision and Control Systems

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Author :
Publisher : Springer Science & Business Media
ISBN 13 : 0792326431
Total Pages : 548 pages
Book Rating : 4.7/5 (923 download)

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Book Synopsis Fuzzy Reasoning in Information, Decision and Control Systems by : S.G. Tzafestas

Download or read book Fuzzy Reasoning in Information, Decision and Control Systems written by S.G. Tzafestas and published by Springer Science & Business Media. This book was released on 1994-02-28 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt: Great progresses have been made in the application of fuzzy set theory and fuzzy logic. Most remarkable area of application is 'fuzzy control', where fuzzy logic was first applied to plant control systems and its use is expanding to consumer products. Most of fuzzy control systems uses fuzzy inference with max-min or max-product composition, similar to the algorithm that first used by Mamdani in 1970s. Some algorithms are developed to refine fuzzy controls systems but the main part of algorithm stays the same. Triggered by the success of fuzzy control systems, other ways of applying fuzzy set theory are also investigated. They are usually referred to as 'fuzzy expert sys tems', and their purpose are to combine the idea of fuzzy theory with AI based approach toward knowledge processing. These approaches can be more generally viewed as 'fuzzy information processing', that is to bring fuzzy idea into informa tion processing systems.

Fuzzy Sets in Approximate Reasoning and Information Systems

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Publisher : Springer Science & Business Media
ISBN 13 : 1461552435
Total Pages : 527 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Fuzzy Sets in Approximate Reasoning and Information Systems by : J.C. Bezdek

Download or read book Fuzzy Sets in Approximate Reasoning and Information Systems written by J.C. Bezdek and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 527 pages. Available in PDF, EPUB and Kindle. Book excerpt: Approximate reasoning is a key motivation in fuzzy sets and possibility theory. This volume provides a coherent view of this field, and its impact on database research and information retrieval. First, the semantic foundations of approximate reasoning are presented. Special emphasis is given to the representation of fuzzy rules and specialized types of approximate reasoning. Then syntactic aspects of approximate reasoning are surveyed and the algebraic underpinnings of fuzzy consequence relations are presented and explained. The second part of the book is devoted to inductive and neuro-fuzzy methods for learning fuzzy rules. It also contains new material on the application of possibility theory to data fusion. The last part of the book surveys the growing literature on fuzzy information systems. Each chapter contains extensive bibliographical material. Fuzzy Sets in Approximate Reasoning and Information Systems is a major source of information for research scholars and graduate students in computer science and artificial intelligence, interested in human information processing.

Fuzzy Logic in Control

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Author :
Publisher : Rene Jager
ISBN 13 : 9090083189
Total Pages : 322 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Fuzzy Logic in Control by :

Download or read book Fuzzy Logic in Control written by and published by Rene Jager. This book was released on 1995-06-26 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems

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Author :
Publisher : CRC Press
ISBN 13 : 1420039814
Total Pages : 329 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems by : Guanrong Chen

Download or read book Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems written by Guanrong Chen and published by CRC Press. This book was released on 2000-11-27 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the early 1970s, fuzzy systems and fuzzy control theories added a new dimension to control systems engineering. From its beginnings as mostly heuristic and somewhat ad hoc, more recent and rigorous approaches to fuzzy control theory have helped make it an integral part of modern control theory and produced many exciting results. Yesterday's "art

Fuzzy Control and Fuzzy Systems

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Author :
Publisher : *Research Studies Press
ISBN 13 :
Total Pages : 376 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Fuzzy Control and Fuzzy Systems by : Witold Pedrycz

Download or read book Fuzzy Control and Fuzzy Systems written by Witold Pedrycz and published by *Research Studies Press. This book was released on 1993-08-17 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Examines the methodology and algorithms of fuzzy sets considered mainly in the context of control engineering and system modelling and analysis. Special emphasis is focused on the processing of fuzzy information realized with the aid of fuzzy relational structures and their extensions.

Fuzzy Logic Based in Optimization Methods and Control Systems and Its Applications

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Author :
Publisher : BoD – Books on Demand
ISBN 13 : 1789840678
Total Pages : 98 pages
Book Rating : 4.7/5 (898 download)

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Book Synopsis Fuzzy Logic Based in Optimization Methods and Control Systems and Its Applications by : Ali Sadollah

Download or read book Fuzzy Logic Based in Optimization Methods and Control Systems and Its Applications written by Ali Sadollah and published by BoD – Books on Demand. This book was released on 2018-10-31 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy logic models can be used to demonstrate human decision making in complex situations, and can therefore be an important tool in examining natural complexity. Moreover, fuzzy logic can be exploited to predict chaotic behaviors. But why is fuzzy logic so valuable? The idea of fuzzy logic has been around since 1965, and since its introduction thousands of applications of fuzzy logic have been implemented in industry, medicine, and even economic applications and patents. How did this invaluable theory achieve such great success? This book aims to compare well-known and well-used membership functions to demonstrate how to select the best membership functions and show when and why to utilize them. This book also demonstrates how different fields of studies utilize fuzzy logic showing its wide reach and relevance.

Fuzzy Logic in Artificial Intelligence

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Publisher : Springer
ISBN 13 : 9783662166703
Total Pages : 203 pages
Book Rating : 4.1/5 (667 download)

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Book Synopsis Fuzzy Logic in Artificial Intelligence by : Erich P. Klement

Download or read book Fuzzy Logic in Artificial Intelligence written by Erich P. Klement and published by Springer. This book was released on 2014-03-12 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the proceedings of the Eighth Austrian Artificial Intelligence Conference, held in Linz, Austria, in June 1993. The focus of the conference was on "Fuzzy Logic in Artificial Intelligence". The volume contains abstracts of two invited talks and full versions of 17 carefully selected papers. The invited talks were: "The role of fuzzylogic and soft computing in the conception and design of intelligent systems" by Lotfi A. Zadeh, and "A contextual approach for AI systems development" by Irina V. Ezhkova. The contributed papers are grouped into sections on theoretical issues, machine learning, expert systems, robotics and control, applications to medicine, and applications to car driving. Additionally, the volume contains descriptions of the four workshops that took place during the conference.

An Introduction to Fuzzy Logic Applications in Intelligent Systems

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Publisher : Springer Science & Business Media
ISBN 13 : 1461536405
Total Pages : 358 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis An Introduction to Fuzzy Logic Applications in Intelligent Systems by : Ronald R. Yager

Download or read book An Introduction to Fuzzy Logic Applications in Intelligent Systems written by Ronald R. Yager and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Control Systems Design and Analysis

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Publisher : John Wiley & Sons
ISBN 13 : 0471465224
Total Pages : 321 pages
Book Rating : 4.4/5 (714 download)

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Book Synopsis Fuzzy Control Systems Design and Analysis by : Kazuo Tanaka

Download or read book Fuzzy Control Systems Design and Analysis written by Kazuo Tanaka and published by John Wiley & Sons. This book was released on 2004-04-07 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive treatment of model-based fuzzy control systems This volume offers full coverage of the systematic framework for the stability and design of nonlinear fuzzy control systems. Building on the Takagi-Sugeno fuzzy model, authors Tanaka and Wang address a number of important issues in fuzzy control systems, including stability analysis, systematic design procedures, incorporation of performance specifications, numerical implementations, and practical applications. Issues that have not been fully treated in existing texts, such as stability analysis, systematic design, and performance analysis, are crucial to the validity and applicability of fuzzy control methodology. Fuzzy Control Systems Design and Analysis addresses these issues in the framework of parallel distributed compensation, a controller structure devised in accordance with the fuzzy model. This balanced treatment features an overview of fuzzy control, modeling, and stability analysis, as well as a section on the use of linear matrix inequalities (LMI) as an approach to fuzzy design and control. It also covers advanced topics in model-based fuzzy control systems, including modeling and control of chaotic systems. Later sections offer practical examples in the form of detailed theoretical and experimental studies of fuzzy control in robotic systems and a discussion of future directions in the field. Fuzzy Control Systems Design and Analysis offers an advanced treatment of fuzzy control that makes a useful reference for researchers and a reliable text for advanced graduate students in the field.

Fuzzy Control of Queuing Systems

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Publisher : Springer Science & Business Media
ISBN 13 : 1846280737
Total Pages : 175 pages
Book Rating : 4.8/5 (462 download)

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Book Synopsis Fuzzy Control of Queuing Systems by : Runtong Zhang

Download or read book Fuzzy Control of Queuing Systems written by Runtong Zhang and published by Springer Science & Business Media. This book was released on 2005-12-06 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: Every day we experience the annoyance of having to queue. The phenomenon is becoming more prevalent in our increasingly congested and urbanised society. Not only the visible queues in traffic jams, airport check in desks and supermarkets, but the more common invisible queues caused by voice calls and data packets in optical and wireless channels. Queues cost us time, money and resources; so what is the solution to our greater demand for services than there are facilities? Queuing control plays a crucial role in manufacturing and communication networks around the world. This pioneering approach, using fuzzy control to solve queuing control problems, determines explicit solutions to various types of control in queuing systems. The bulk of results have been developed over the past decade and are presented here together for the first time. 21 detailed case studies demonstrate an efficient departure from classical techniques. Unique work creating a new Research and Development topic. Multidisciplinary approach that will benefit researchers and students throughout the fields of artificial intelligence, operations research, optimal control, Internet techniques, communications and traffic control industries. Equipped with an extensive bibliography for easy reference and scope for further study. Existing practical problems, especially those that are unresponsive to conventional control techniques, are solved with the introduction of this novel approach. A systematic framework of the ‘fuzzy control of queuing networks’ is developed through each individual case.

Fuzzy Logic with Engineering Applications

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Publisher : John Wiley & Sons
ISBN 13 : 0470748516
Total Pages : 610 pages
Book Rating : 4.4/5 (77 download)

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Book Synopsis Fuzzy Logic with Engineering Applications by : Timothy J. Ross

Download or read book Fuzzy Logic with Engineering Applications written by Timothy J. Ross and published by John Wiley & Sons. This book was released on 2009-12-01 with total page 610 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first edition of Fuzzy Logic with Engineering Applications (1995) was the first classroom text for undergraduates in the field. Now updated for the second time, this new edition features the latest advances in the field including material on expansion of the MLFE method using genetic algorithms, cognitive mapping, fuzzy agent-based models and total uncertainty. Redundant or obsolete topics have been removed, resulting in a more concise yet inclusive text that will ensure the book retains its broad appeal at the forefront of the literature. Fuzzy Logic with Engineering Applications, 3rd Edition is oriented mainly towards methods and techniques. Every chapter has been revised, featuring new illustrations and examples throughout. Supporting MATLAB code is downloadable at www.wileyeurope.com/go/fuzzylogic. This will benefit student learning in all basic operations, the generation of membership functions, and the specialized applications in the latter chapters of the book, providing an invaluable tool for students as well as for self-study by practicing engineers.

Intelligent Control Systems Using Soft Computing Methodologies

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Publisher : CRC Press
ISBN 13 : 1420058142
Total Pages : 504 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Intelligent Control Systems Using Soft Computing Methodologies by : Ali Zilouchian

Download or read book Intelligent Control Systems Using Soft Computing Methodologies written by Ali Zilouchian and published by CRC Press. This book was released on 2001-03-27 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, intelligent control has emerged as one of the most active and fruitful areas of research and development. Until now, however, there has been no comprehensive text that explores the subject with focus on the design and analysis of biological and industrial applications. Intelligent Control Systems Using Soft Computing Methodologies does all that and more. Beginning with an overview of intelligent control methodologies, the contributors present the fundamentals of neural networks, supervised and unsupervised learning, and recurrent networks. They address various implementation issues, then explore design and verification of neural networks for a variety of applications, including medicine, biology, digital signal processing, object recognition, computer networking, desalination technology, and oil refinery and chemical processes. The focus then shifts to fuzzy logic, with a review of the fundamental and theoretical aspects, discussion of implementation issues, and examples of applications, including control of autonomous underwater vehicles, navigation of space vehicles, image processing, robotics, and energy management systems. The book concludes with the integration of genetic algorithms into the paradigm of soft computing methodologies, including several more industrial examples, implementation issues, and open problems and open problems related to intelligent control technology. Suitable as a textbook or a reference, Intelligent Control Systems explores recent advances in the field from both the theoretical and the practical viewpoints. It also integrates intelligent control design methodologies to give designers a set of flexible, robust controllers and provide students with a tool for solving the examples and exercises within the book.

Fuzzy Sets, Fuzzy Logic, And Fuzzy Systems: Selected Papers By Lotfi A Zadeh

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Publisher : World Scientific
ISBN 13 : 9814499811
Total Pages : 842 pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Fuzzy Sets, Fuzzy Logic, And Fuzzy Systems: Selected Papers By Lotfi A Zadeh by : George J Klir

Download or read book Fuzzy Sets, Fuzzy Logic, And Fuzzy Systems: Selected Papers By Lotfi A Zadeh written by George J Klir and published by World Scientific. This book was released on 1996-05-30 with total page 842 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book consists of selected papers written by the founder of fuzzy set theory, Lotfi A Zadeh. Since Zadeh is not only the founder of this field, but has also been the principal contributor to its development over the last 30 years, the papers contain virtually all the major ideas in fuzzy set theory, fuzzy logic, and fuzzy systems in their historical context. Many of the ideas presented in the papers are still open to further development. The book is thus an important resource for anyone interested in the areas of fuzzy set theory, fuzzy logic, and fuzzy systems, as well as their applications. Moreover, the book is also intended to play a useful role in higher education, as a rich source of supplementary reading in relevant courses and seminars.The book contains a bibliography of all papers published by Zadeh in the period 1949-1995. It also contains an introduction that traces the development of Zadeh's ideas pertaining to fuzzy sets, fuzzy logic, and fuzzy systems via his papers. The ideas range from his 1965 seminal idea of the concept of a fuzzy set to ideas reflecting his current interest in computing with words — a computing in which linguistic expressions are used in place of numbers.Places in the papers, where each idea is presented can easily be found by the reader via the Subject Index.

Fuzzy Expert Systems

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Publisher : CRC Press
ISBN 13 : 9780849342974
Total Pages : 344 pages
Book Rating : 4.3/5 (429 download)

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Book Synopsis Fuzzy Expert Systems by : Abraham Kandel

Download or read book Fuzzy Expert Systems written by Abraham Kandel and published by CRC Press. This book was released on 1991-11-12 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: Until recently, fuzzy logic was the intellectual plaything of a handful of researchers. Now it is being used to enhance the power of intelligent systems, as well as improve the performance and reduce the cost of intelligent and "smart" products appearing in the commercial market. Fuzzy Expert Systems focuses primarily on the theory of fuzzy expert systems and their applications in science and engineering. In doing so, it provides the first comprehensive study of "soft" expert systems and applications for those systems. Topics covered include general purpose fuzzy expert systems, processing imperfect information using structured frameworks, the fuzzy linguistic inference network generator, fuzzy associative memories, the role of approximate reasoning in medical expert systems, MILORD (a fuzzy expert systems shell), and COMAX (an autonomous fuzzy expert system for tactical communications networks. Fuzzy Expert Systems provides an invaluable reference resource for researchers and students in artificial intelligence (AI) and approximate reasoning (AR), as well as for other researchers looking for methods to apply similar tools in their own designs of intelligent systems.

An Introduction to Fuzzy Logic Applications

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Publisher : Springer Science & Business Media
ISBN 13 : 9401090424
Total Pages : 231 pages
Book Rating : 4.4/5 (1 download)

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Book Synopsis An Introduction to Fuzzy Logic Applications by : J. Harris

Download or read book An Introduction to Fuzzy Logic Applications written by J. Harris and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy logic provides a unique method of approximate reasoning in an imperfect world. This text is a bridge to the principles of fuzzy logic through an application-focused approach to selected topics in Engineering and Management. The many examples point to the richer solutions obtained through fuzzy logic and to the possibilities of much wider applications. There are relatively few texts available at present in fuzzy logic applications. The style and content of this text is complementary to those already available. New areas of application are presented in a graded approach in which the underlying concepts are first described. The text is broadly divided into two parts which treat Processes and Materials and also System Applications. The level enables a selection of the text to be made for the substance of a senior undergraduate level course. There is also sufficient volume and quality for the basis of a postgraduate course. A more restricted and judicious selection can provide the material for a professional short course.

Fuzzy Logic for Business, Finance, and Management

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Author :
Publisher : World Scientific
ISBN 13 : 9812770623
Total Pages : 253 pages
Book Rating : 4.8/5 (127 download)

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Book Synopsis Fuzzy Logic for Business, Finance, and Management by : George Bojadziev

Download or read book Fuzzy Logic for Business, Finance, and Management written by George Bojadziev and published by World Scientific. This book was released on 2007 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is truly an interdisciplinary book for knowledge workers in business, finance, management and socio-economic sciences based on fuzzy logic. It serves as a guide to and techniques for forecasting, decision making and evaluations in an environment involving uncertainty, vagueness, impression and subjectivity. Traditional modeling techniques, contrary to fuzzy logic, do not capture the nature of complex systems especially when humans are involved. Fuzzy logic uses human experience and judgement to facilitate plausible reasoning in order to reach a conclusion. Emphasis is on applications presented in the 27 case studies including Time Forecasting for Project Management, New Product Pricing, and Control of a Parasit-Pest System.