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Future Directions Of Fuzzy Theory And Systems
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Book Synopsis Future Directions of Fuzzy Theory and Systems by : Yeung Yam
Download or read book Future Directions of Fuzzy Theory and Systems written by Yeung Yam and published by World Scientific. This book was released on 1995 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph includes expanded selected papers presented in the ?Workshop on the Future Directions of Fuzzy Theory and Systems?. It contains many recent developments in the field and provides valuable insights into the future direction and applications of fuzzy theory and systems.
Book Synopsis Uncertain Rule-Based Fuzzy Systems by : Jerry M. Mendel
Download or read book Uncertain Rule-Based Fuzzy Systems written by Jerry M. Mendel and published by Springer. This book was released on 2017-05-17 with total page 684 pages. Available in PDF, EPUB and Kindle. Book excerpt: The second edition of this textbook provides a fully updated approach to fuzzy sets and systems that can model uncertainty — i.e., “type-2” fuzzy sets and systems. The author demonstrates how to overcome the limitations of classical fuzzy sets and systems, enabling a wide range of applications from time-series forecasting to knowledge mining to control. In this new edition, a bottom-up approach is presented that begins by introducing classical (type-1) fuzzy sets and systems, and then explains how they can be modified to handle uncertainty. The author covers fuzzy rule-based systems – from type-1 to interval type-2 to general type-2 – in one volume. For hands-on experience, the book provides information on accessing MatLab and Java software to complement the content. The book features a full suite of classroom material.
Book Synopsis Fuzzy Automata and Languages by : John N. Mordeson
Download or read book Fuzzy Automata and Languages written by John N. Mordeson and published by CRC Press. This book was released on 2002-03-19 with total page 577 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy Automata Theory offers the first in-depth treatment of the theory and mathematics of fuzzy automata and fuzzy languages. It effectively compares and contrasts the different approaches used in fuzzy mathematics and automata and includes complete proofs of the theoretical results presented. More than 60 figures and 125 examples illustrate the results, and exercises in each chapter serve not only to test understanding, but also to present material not covered in detail within the text. Although the book is theoretical in nature, the authors also discuss applications in a variety of fields, including databases, medicine, learning systems, and pattern recognition.
Book Synopsis Uncertain Rule-based Fuzzy Logic Systems by : Jerry M. Mendel
Download or read book Uncertain Rule-based Fuzzy Logic Systems written by Jerry M. Mendel and published by Prentice Hall. This book was released on 2001 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: Jerry Mendel explains the complete development of fuzzy logic systems and explores a new methodology to build better and more intelligent systems. Two case studies are carried throughout the book to illustrate and expand on the theories introduced.
Book Synopsis Introduction to Neuro-Fuzzy Systems by : Robert Fuller
Download or read book Introduction to Neuro-Fuzzy Systems written by Robert Fuller and published by Springer Science & Business Media. This book was released on 2013-06-05 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy sets were introduced by Zadeh (1965) as a means of representing and manipulating data that was not precise, but rather fuzzy. Fuzzy logic pro vides an inference morphology that enables approximate human reasoning capabilities to be applied to knowledge-based systems. The theory of fuzzy logic provides a mathematical strength to capture the uncertainties associ ated with human cognitive processes, such as thinking and reasoning. The conventional approaches to knowledge representation lack the means for rep resentating the meaning of fuzzy concepts. As a consequence, the approaches based on first order logic and classical probablity theory do not provide an appropriate conceptual framework for dealing with the representation of com monsense knowledge, since such knowledge is by its nature both lexically imprecise and noncategorical. The developement of fuzzy logic was motivated in large measure by the need for a conceptual framework which can address the issue of uncertainty and lexical imprecision. Some of the essential characteristics of fuzzy logic relate to the following [242]. • In fuzzy logic, exact reasoning is viewed as a limiting case of ap proximate reasoning. • In fuzzy logic, everything is a matter of degree. • In fuzzy logic, knowledge is interpreted a collection of elastic or, equivalently, fuzzy constraint on a collection of variables. • Inference is viewed as a process of propagation of elastic con straints. • Any logical system can be fuzzified. There are two main characteristics of fuzzy systems that give them better performance für specific applications.
Book Synopsis Fuzzy Modeling and Control by : Hung T. Nguyen
Download or read book Fuzzy Modeling and Control written by Hung T. Nguyen and published by CRC Press. This book was released on 1999-03-30 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: This collection compiles the seminal contributions of Michio Sugeno on fuzzy systems and technologies. Fuzzy Modeling & Control: Selected Works of Sugeno serves as a singular resource that provides a clear, comprehensive treatment of fuzzy control systems. The book comprises two parts fuzzy system identification and modeling systems control Each part outlines the fundamentals of fuzzy logic and covers essential material for understanding the mathematical and modeling details in Sugeno's works. Introductory chapters include extended summaries of each paper or group of papers, suggesting where the theories discussed might be useful in application.
Book Synopsis New Directions in Rough Sets, Data Mining, and Granular-Soft Computing by : Ning Zhong
Download or read book New Directions in Rough Sets, Data Mining, and Granular-Soft Computing written by Ning Zhong and published by Springer Science & Business Media. This book was released on 1999-10-20 with total page 587 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 7th International Workshop on Rough Sets, Fuzzy Sets, Data Mining, and Granular-Soft Computing, RSFDGrC'99, held in Yamaguchi, Japan, in November 1999. The 45 revised regular papers and 15 revised short papers presented together with four invited contributions were carefully reviewed and selected from 89 submissions. The book is divided into sections on rough computing: foundations and applications, rough set theory and applications, fuzzy set theory and applications, nonclassical logic and approximate reasoning, information granulation and granular computing, data mining and knowledge discovery, machine learning, and intelligent agents and systems.
Book Synopsis Intelligent Spatial Decision Support Systems by : Yee Leung
Download or read book Intelligent Spatial Decision Support Systems written by Yee Leung and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 477 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the past half century, we have experienced two major waves of methodological development in the study of human behavior in space and time. The fIrst wave was the well known "quantitative revolution" which propelled geography from a mainly descriptive discipline to a scientifIc discipline using formalism such as probability, statistics, and a large-number of mathematical methods for analyzing spatial structures and processes under certainty and uncertainty. The second wave is the recent advancement of geographical information systems which equips geographers with automation in the storage, retrieval, analysis, and display of data. Both developments have significant impacts on geographical studies in general and solutions to real life spatio-temporal problems in particular. They have found applications in urban and regional planning, automated mapping and facilities management, transportation planning and management, as well as environmental planning and management, to name but a few examples. Both developments have one thing in common. They one way or the other use computer to process and analyze data. However, not until recently, there has been very little interaction between the two. Quantitative models have largely been developed independent of the underlying data models and structures representing the spatial phenomena or processes under study. Display of analysis results has been primitive in terms of the utilization of computer graphic technologies. Formal models, in addition to their technical difficulties, have poor capability in communication with users. Geographical information systems, on the other hand, have originally been developed with a slight intention to entertain powerful analytical models.
Author :Hans-Jürgen Zimmermann Publisher :Springer Science & Business Media ISBN 13 :146154601X Total Pages :680 pages Book Rating :4.4/5 (615 download)
Book Synopsis Practical Applications of Fuzzy Technologies by : Hans-Jürgen Zimmermann
Download or read book Practical Applications of Fuzzy Technologies written by Hans-Jürgen Zimmermann and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 680 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the late 1980s, a large number of very user-friendly tools for fuzzy control, fuzzy expert systems, and fuzzy data analysis have emerged. This has changed the character of this area and started the area of `fuzzy technology'. The next large step in the development occurred in 1992 when almost independently in Europe, Japan and the USA, the three areas of fuzzy technology, artificial neural nets and genetic algorithms joined forces under the title of `computational intelligence' or `soft computing'. The synergies which were possible between these three areas have been exploited very successfully. Practical Applications of Fuzzy Sets focuses on model and real applications of fuzzy sets, and is structured into four major parts: engineering and natural sciences; medicine; management; and behavioral, cognitive and social sciences. This book will be useful for practitioners of fuzzy technology, scientists and students who are looking for applications of their models and methods, for topics of their theses, and even for venture capitalists who look for attractive possibilities for investments.
Author :Hans-Jürgen Zimmermann Publisher :Springer Science & Business Media ISBN 13 :9401579490 Total Pages :408 pages Book Rating :4.4/5 (15 download)
Book Synopsis Fuzzy Set Theory — and Its Applications by : Hans-Jürgen Zimmermann
Download or read book Fuzzy Set Theory — and Its Applications written by Hans-Jürgen Zimmermann and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since its inception 20 years ago the theory of fuzzy sets has advanced in a variety of ways and in many disciplines. Applications of this theory can be found in artificial intelligence, computer science, control engineering, decision theory, expert systems, logic, management science, operations research, pattern recognition, robotics and others. Theoretical advances, too, have been made in many directions, and a gap has arisen between advanced theoretical topics and applications, which often use the theory at a rather elementary level. The primary goal of this book is to close this gap - to provide a textbook for courses in fuzzy set theory and a book that can be used as an introduction. This revised book updates the research agenda, with the chapters of possibility theory, fuzzy logic and approximate reasoning, expert systems and control, decision making and fuzzy set models in operations research being restructured and rewritten. Exercises have been added to almost all chapters and a teacher's manual is available upon request.
Download or read book Fuzzy Logic written by Marek J. Patyra and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume contains ten papers on the subject of fuzzy technology. Fuzzy technology emerged as a combination of fuzzy sets theory, fuzzy logic and fuzzy-based reasoning. As a technology it gained a very practical meaning through thousands of applications in different theoretical as well as practical disciplines, covering mathematics, physics, chemistry, biology, life science, social science, economy, computer science, and (foremost) electrical, electronic, mechanical, nuclear, chemical, textile, aeronautic, ocean, and many other engineering disciplines. The goal of this book is to create an interest in fuzzy technology among researchers, engineers, professionals and students involved in the research and development in the broad area of artificial intelligence. This book is also intended to bring the reader up-to-date in the area of implementations and applications of fuzzy technology, as well as to generate and stimulate new research ideas in this area. It may inspire and motivate the researcher in new directions, as well as creating a force for new efforts to make a fuzzy technology commonly known and used in science and engineering. This volume appears at a time of unprecedented research interest in the field of fuzzy technology. I intentionally wrote research due to the events that have occurred during the last couple of years. To be more specific, I should describe this interest geographically.
Book Synopsis Fuzzy Applications in Industrial Engineering by : Cengiz Kahraman
Download or read book Fuzzy Applications in Industrial Engineering written by Cengiz Kahraman and published by Springer. This book was released on 2007-05-31 with total page 609 pages. Available in PDF, EPUB and Kindle. Book excerpt: After an introductory chapter explaining recent applications of fuzzy sets in IE, this book explores the seven major areas of IE to which fuzzy set theory can contribute: Control and Reliability, Engineering Economics and Investment Analysis, Group and Multi-criteria Decision-making, Human Factors Engineering and Ergonomics, Manufacturing Systems and Technology Management, Optimization Techniques, and Statistical Decision-making. Under these major areas, every chapter includes didactic numerical applications.
Book Synopsis Industrial Applications of Fuzzy Technology in the World by : Kaoru Hirota
Download or read book Industrial Applications of Fuzzy Technology in the World written by Kaoru Hirota and published by World Scientific. This book was released on 1995-10-31 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 1980s saw a whole wave of practical applications of fuzzy theory, mainly in the field of process control, with Japan as pioneer. In the '90s there has been a flood of applications to household electrical appliances, and“fuzzy” has become a high-tech buzz-word in Japan. Since then many countries have followed suit and developed their own fuzzy applications. This book reviews the burgeoning industrial applications of fuzzy theory. The contributors are mostly industrial engineers or research experts in the field. The areas covered include automobiles, home appliances, voice recognition, medical techniques, fuzzy design, process control, space operations and mobile autonomous robots. Very recently the development of fuzzy theory has become intertwined with fields such as neural networks and chaos. This volume also summarizes such trends in an industrial context. The book will be of use to senior undergraduates or graduate students, industrial research scientists, and anyone interested in the wide-ranging applicational aspects of fuzzy theory today. Contents:Industrial Fuzzy Control Review: A Perspective from Feedback and Manufacturing (S Isaka & V K Chu)Fuzzy Logic Control in Finnish Industry (H N Koivo)Recursive Fuzzy Reasoning and Its Application to an Auto-Tuning Controller (K Nomoto)A Practical Application of Fuzzy Theory to an Auto-Regulation System for Extra-Corporeal Circulation (ECC) (T Tobi)Automatic Crane Operation Using Fuzzy Cooperative Control Method (O Itoh, H Migita, J Itoh & Y Irie)Integration of Knowledge-Based Configuration with Fuzzy Logic and Optimization (A Günter, M Kopisch & H-J Sebastian)Fuzzy Applications for Automobiles (H Takahashi)Voice Recognition Using Fuzzy Pattern Matching and Its Applications (J-I Fujimoto)Intelligent Home Appliances Using Fuzzy Technology (N Wakami, H Nomura & S Araki)Fusion Technology of Fuzzy and Chaos Theory, and Its Applications (R Katayama)Fusion of Chaos and Fuzzy Logic, and Its Applications: Short-Term Prediction on Chaotic Time Series (T Iokibe, S Murata & M Koyama)Applications of Fuzzy Logic and Neural Networks in Space Operations (Y Jani, R N Lea & R H Brown)Reactive Fuzzy Control of Autonomous Robots (E H Ruspini) Readership: Senior undergraduates, graduate students and practising engineers with interests in the applicational aspects of fuzzy theory. keywords:Computational Intelligence;Control;Expert system;Fuzzy;Image Processing;Industrial Application;Neuro;Robotics;Sensor;Soft Computing
Book Synopsis Future Directions for Intelligent Systems and Information Sciences by : Nikola Kasabov
Download or read book Future Directions for Intelligent Systems and Information Sciences written by Nikola Kasabov and published by Springer Science & Business Media. This book was released on 2000-08-04 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume comprises invited chapters that cover five areas of the current and the future development of intelligent systems and information sciences. Half of the chapters were presented as invited talks at the Workshop "Future Directions for Intelligent Systems and Information Sciences" held in Dunedin, New Zealand, 22-23 November 1999 after the International Conference on Neuro-Information Processing (lCONIPI ANZIISI ANNES '99) held in Perth, Australia. In order to make this volume useful for researchers and academics in the broad area of information sciences I invited prominent researchers to submit materials and present their view about future paradigms, future trends and directions. Part I contains chapters on adaptive, evolving, learning systems. These are systems that learn in a life-long, on-line mode and in a changing environment. The first chapter, written by the editor, presents briefly the paradigm of Evolving Connectionist Systems (ECOS) and some of their applications. The chapter by Sung-Bae Cho presents the paradigms of artificial life and evolutionary programming in the context of several applications (mobile robots, adaptive agents of the WWW). The following three chapters written by R.Duro, J.Santos and J.A.Becerra (chapter 3), GCoghill . (chapter 4), Y.Maeda (chapter 5) introduce new techniques for building adaptive, learning robots.
Book Synopsis Advances in Type-2 Fuzzy Sets and Systems by : Alireza Sadeghian
Download or read book Advances in Type-2 Fuzzy Sets and Systems written by Alireza Sadeghian and published by Springer. This book was released on 2013-06-25 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores recent developments in the theoretical foundations and novel applications of general and interval type-2 fuzzy sets and systems, including: algebraic properties of type-2 fuzzy sets, geometric-based definition of type-2 fuzzy set operators, generalizations of the continuous KM algorithm, adaptiveness and novelty of interval type-2 fuzzy logic controllers, relations between conceptual spaces and type-2 fuzzy sets, type-2 fuzzy logic systems versus perceptual computers; modeling human perception of real world concepts with type-2 fuzzy sets, different methods for generating membership functions of interval and general type-2 fuzzy sets, and applications of interval type-2 fuzzy sets to control, machine tooling, image processing and diet. The applications demonstrate the appropriateness of using type-2 fuzzy sets and systems in real world problems that are characterized by different degrees of uncertainty.
Book Synopsis Applied Research in Fuzzy Technology by :
Download or read book Applied Research in Fuzzy Technology written by and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy logic is `a recent revolutionary technology' which has brought together researchers from mathematics, engineering, computer science, cognitive and behavioral sciences, etc. The work in fuzzy technology at the Laboratory for International Fuzzy Engineering (LIFE) has been specifically applied to engineering problems. This book reflects the results of the work that has been undertaken at LIFE with chapters treating the following topical areas: Decision Support Systems, Intelligent Plant Operations Support, Fuzzy Modeling and Process Control, System Design, Image Understanding, Behavior Decisions for Mobile Robots, the Fuzzy Computer, and Fuzzy Neuro Systems. The book is a thorough analysis of research which has been implemented in the areas of fuzzy engineering technology. The analysis can be used to improve these specific applications or, perhaps more importantly, to investigate more sophisticated fuzzy control applications.
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.
