Insight Into Fuzzy Modeling

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Insight into Fuzzy Modeling

Vilém Novák,Irina Perfilieva,Antonín Dvorák
Insight into Fuzzy Modeling Book PDF

Author : Vilém Novák,Irina Perfilieva,Antonín Dvorák
Publisher : John Wiley & Sons
Page : 268 pages
File Size : 43,8 Mb
Release : 2016-04-04
Category : Technology & Engineering
ISBN : 9781119193180

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Insight into Fuzzy Modeling by Vilém Novák,Irina Perfilieva,Antonín Dvorák Pdf

Provides a unique and methodologically consistent treatment of various areas of fuzzy modeling and includes the results of mathematical fuzzy logic and linguistics This book is the result of almost thirty years of research on fuzzy modeling. It provides a unique view of both the theory and various types of applications. The book is divided into two parts. The first part contains an extensive presentation of the theory of fuzzy modeling. The second part presents selected applications in three important areas: control and decision-making, image processing, and time series analysis and forecasting. The authors address the consistent and appropriate treatment of the notions of fuzzy sets and fuzzy logic and their applications. They provide two complementary views of the methodology, which is based on fuzzy IF-THEN rules. The first, more traditional method involves fuzzy approximation and the theory of fuzzy relations. The second method is based on a combination of formal fuzzy logic and linguistics. A very important topic covered for the first time in book form is the fuzzy transform (F-transform). Applications of this theory are described in separate chapters and include image processing and time series analysis and forecasting. All of the mentioned components make this book of interest to students and researchers of fuzzy modeling as well as to practitioners in industry. Features: Provides a foundation of fuzzy modeling and proposes a thorough description of fuzzy modeling methodology Emphasizes fuzzy modeling based on results in linguistics and formal logic Includes chapters on natural language and approximate reasoning, fuzzy control and fuzzy decision-making, and image processing using the F-transform Discusses fuzzy IF-THEN rules for approximating functions, fuzzy cluster analysis, and time series forecasting Insight into Fuzzy Modeling is a reference for researchers in the fields of soft computing and fuzzy logic as well as undergraduate, master and Ph.D. students. Vilém Novák, D.Sc. is Full Professor and Director of the Institute for Research and Applications of Fuzzy Modeling, University of Ostrava, Czech Republic. Irina Perfilieva, Ph.D. is Full Professor, Senior Scientist, and Head of the Department of Theoretical Research at the Institute for Research and Applications of Fuzzy Modeling, University of Ostrava, Czech Republic. Antonín Dvorák, Ph.D. is Associate Professor, and Senior Scientist at the Institute for Research and Applications of Fuzzy Modeling, University of Ostrava, Czech Republic.

Fuzzy Modeling for Control

Robert Babuška
Fuzzy Modeling for Control Book PDF

Author : Robert Babuška
Publisher : Springer Science & Business Media
Page : 269 pages
File Size : 47,6 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9789401148689

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Fuzzy Modeling for Control by Robert Babuška Pdf

Rule-based fuzzy modeling has been recognised as a powerful technique for the modeling of partly-known nonlinear systems. Fuzzy models can effectively integrate information from different sources, such as physical laws, empirical models, measurements and heuristics. Application areas of fuzzy models include prediction, decision support, system analysis, control design, etc. Fuzzy Modeling for Control addresses fuzzy modeling from the systems and control engineering points of view. It focuses on the selection of appropriate model structures, on the acquisition of dynamic fuzzy models from process measurements (fuzzy identification), and on the design of nonlinear controllers based on fuzzy models. To automatically generate fuzzy models from measurements, a comprehensive methodology is developed which employs fuzzy clustering techniques to partition the available data into subsets characterized by locally linear behaviour. The relationships between the presented identification method and linear regression are exploited, allowing for the combination of fuzzy logic techniques with standard system identification tools. Attention is paid to the trade-off between the accuracy and transparency of the obtained fuzzy models. Control design based on a fuzzy model of a nonlinear dynamic process is addressed, using the concepts of model-based predictive control and internal model control with an inverted fuzzy model. To this end, methods to exactly invert specific types of fuzzy models are presented. In the context of predictive control, branch-and-bound optimization is applied. The main features of the presented techniques are illustrated by means of simple examples. In addition, three real-world applications are described. Finally, software tools for building fuzzy models from measurements are available from the author.

Fuzzy Model Identification for Control

Janos Abonyi
Fuzzy Model Identification for Control Book PDF

Author : Janos Abonyi
Publisher : Springer Science & Business Media
Page : 279 pages
File Size : 44,8 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9781461200277

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Fuzzy Model Identification for Control by Janos Abonyi Pdf

This book presents new approaches to constructing fuzzy models for model-based control. Simulated examples and real-world applications from chemical and process engineering illustrate the main methods and techniques. Supporting MATLAB and Simulink files create a computational platform for exploration of the concepts and algorithms.

Analytical Methods in Fuzzy Modeling and Control

Jacek Kluska
Analytical Methods in Fuzzy Modeling and Control Book PDF

Author : Jacek Kluska
Publisher : Springer Science & Business Media
Page : 272 pages
File Size : 55,9 Mb
Release : 2009-03-10
Category : Computers
ISBN : 9783540899266

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Analytical Methods in Fuzzy Modeling and Control by Jacek Kluska Pdf

This book is focused on mathematical analysis and rigorous design methods for fuzzy control systems based on Takagi-Sugeno fuzzy models, sometimes called Takagi-Sugeno-Kang models. The author presents a rather general analytical theory of exact fuzzy modeling and control of continuous and discrete-time dynamical systems. Main attention is paid to usability of the results for the control and computer engineering community and therefore simple and easy knowledge-bases for linguistic interpretation have been used. The approach is based on the author’s theorems concerning equivalence between widely used Takagi-Sugeno systems and some class of multivariate polynomials. It combines the advantages of fuzzy system theory and classical control theory. Classical control theory can be applied to modeling of dynamical plants and the controllers. They are all equivalent to the set of Takagi-Sugeno type fuzzy rules. The approach combines the best of fuzzy and conventional control theory. It enables linguistic interpretability (also called transparency) of both the plant model and the controller. In the case of linear systems and some class of nonlinear systems, engineers can in many cases directly apply well-known classical tools from the control theory both for analysis, and the design of closed-loop fuzzy control systems. Therefore the main objective of the book is to establish comprehensive and unified analytical foundations for fuzzy modeling using the Takagi-Sugeno rule scheme and their applications for fuzzy control, identification of some class of nonlinear dynamical processes and classification problem solver design.

Accuracy Improvements in Linguistic Fuzzy Modeling

Jorge Casillas,O. Cordón,Francisco Herrera Triguero,Luis Magdalena
Accuracy Improvements in Linguistic Fuzzy Modeling Book PDF

Author : Jorge Casillas,O. Cordón,Francisco Herrera Triguero,Luis Magdalena
Publisher : Springer Science & Business Media
Page : 410 pages
File Size : 44,6 Mb
Release : 2003-06-04
Category : Business & Economics
ISBN : 3540029338

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Accuracy Improvements in Linguistic Fuzzy Modeling by Jorge Casillas,O. Cordón,Francisco Herrera Triguero,Luis Magdalena Pdf

Fuzzy modeling usually comes with two contradictory requirements: interpretability, which is the capability to express the real system behavior in a comprehensible way, and accuracy, which is the capability to faithfully represent the real system. In this framework, one of the most important areas is linguistic fuzzy modeling, where the legibility of the obtained model is the main objective. This task is usually developed by means of linguistic (Mamdani) fuzzy rule-based systems. An active research area is oriented towards the use of new techniques and structures to extend the classical, rigid linguistic fuzzy modeling with the main aim of increasing its precision degree. Traditionally, this accuracy improvement has been carried out without considering the corresponding interpretability loss. Currently, new trends have been proposed trying to preserve the linguistic fuzzy model description power during the optimization process. Written by leading experts in the field, this volume collects some representative researcher that pursue this approach.

Fuzzy Modelling

Witold Pedrycz
Fuzzy Modelling Book PDF

Author : Witold Pedrycz
Publisher : Springer Science & Business Media
Page : 399 pages
File Size : 53,7 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9781461313656

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Fuzzy Modelling by Witold Pedrycz Pdf

Fuzzy Modelling: Paradigms and Practice provides an up-to-date and authoritative compendium of fuzzy models, identification algorithms and applications. Chapters in this book have been written by the leading scholars and researchers in their respective subject areas. Several of these chapters include both theoretical material and applications. The editor of this volume has organized and edited the chapters into a coherent and uniform framework. The objective of this book is to provide researchers and practitioners involved in the development of models for complex systems with an understanding of fuzzy modelling, and an appreciation of what makes these models unique. The chapters are organized into three major parts covering relational models, fuzzy neural networks and rule-based models. The material on relational models includes theory along with a large number of implemented case studies, including some on speech recognition, prediction, and ecological systems. The part on fuzzy neural networks covers some fundamentals, such as neurocomputing, fuzzy neurocomputing, etc., identifies the nature of the relationship that exists between fuzzy systems and neural networks, and includes extensive coverage of their architectures. The last part addresses the main design principles governing the development of rule-based models. Fuzzy Modelling: Paradigms and Practice provides a wealth of specific fuzzy modelling paradigms, algorithms and tools used in systems modelling. Also included is a panoply of case studies from various computer, engineering and science disciplines. This should be a primary reference work for researchers and practitioners developing models of complex systems.

Insights into Advancements in Intelligent Information Technologies: Discoveries

Sugumaran, Vijayan
Insights into Advancements in Intelligent Information Technologies Discoveries Book PDF

Author : Sugumaran, Vijayan
Publisher : IGI Global
Page : 365 pages
File Size : 45,8 Mb
Release : 2012-02-29
Category : Computers
ISBN : 9781466601598

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Insights into Advancements in Intelligent Information Technologies: Discoveries by Sugumaran, Vijayan Pdf

"This book offers the latest the field has to offer in research, methodologies, frameworks, and advances in the field of intelligent information technologies"--Provided by publisher.

Fuzzy Modeling and Control

Hung T. Nguyen,Nadipuram R. Prasad
Fuzzy Modeling and Control Book PDF

Author : Hung T. Nguyen,Nadipuram R. Prasad
Publisher : CRC Press
Page : 446 pages
File Size : 49,8 Mb
Release : 1999-03-30
Category : Computers
ISBN : 0849328845

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Fuzzy Modeling and Control by Hung T. Nguyen,Nadipuram R. Prasad Pdf

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.

Fuzzy Logic

Vladimir Dimitrov,Victor Korotkich
Fuzzy Logic Book PDF

Author : Vladimir Dimitrov,Victor Korotkich
Publisher : Physica
Page : 397 pages
File Size : 50,8 Mb
Release : 2013-12-06
Category : Mathematics
ISBN : 9783790818062

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Fuzzy Logic by Vladimir Dimitrov,Victor Korotkich Pdf

At the beginning of the new millennium, fuzzy logic opens a new challenging perspective in information processing. This perspective emerges out of the ideas of the founder of fuzzy logic - Lotfi Zadeh, to develop 'soft' tools for direct computing with human perceptions. The enigmatic nature of human perceptions manifests in their unique capacity to generalize, extract patterns and capture both the essence and the integrity of the events and phenomena in human life. This capacity goes together with an intrinsic imprecision of the perception-based information. According to Zadeh, it is because of the imprecision of the human imprecision that they do not lend themselves to meaning representation through the use of precise methods based on predicate logic. This is the principal reason why existing scientific theories do not have the capability to operate on perception-based information. We are at the eve of the emergence of a theory with such a capability. Its applicative effectiveness has been already demonstrated through the industrial implementation of the soft computing - a powerful intelligent technology centred in fuzzy logic. At the focus of the papers included in this book is the knowledge and experience of the researchers in relation both to the engineering applications of soft computing and to its social and philosophical implications at the dawn of the third millennium. The papers clearly demonstrate that Fuzzy Logic revolutionizes general approaches for solving applied problems and reveals deep connections between them and their solutions.

Evolving Fuzzy Systems - Methodologies, Advanced Concepts and Applications

Edwin Lughofer
Evolving Fuzzy Systems Methodologies Advanced Concepts and Applications Book PDF

Author : Edwin Lughofer
Publisher : Springer
Page : 456 pages
File Size : 53,8 Mb
Release : 2011-01-31
Category : Technology & Engineering
ISBN : 9783642180873

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Evolving Fuzzy Systems - Methodologies, Advanced Concepts and Applications by Edwin Lughofer Pdf

In today’s real-world applications, there is an increasing demand of integrating new information and knowledge on-demand into model building processes to account for changing system dynamics, new operating conditions, varying human behaviors or environmental influences. Evolving fuzzy systems (EFS) are a powerful tool to cope with this requirement, as they are able to automatically adapt parameters, expand their structure and extend their memory on-the-fly, allowing on-line/real-time modeling. This book comprises several evolving fuzzy systems approaches which have emerged during the last decade and highlights the most important incremental learning methods used. The second part is dedicated to advanced concepts for increasing performance, robustness, process-safety and reliability, for enhancing user-friendliness and enlarging the field of applicability of EFS and for improving the interpretability and understandability of the evolved models. The third part underlines the usefulness and necessity of evolving fuzzy systems in several online real-world application scenarios, provides an outline of potential future applications and raises open problems and new challenges for the next generation evolving systems, including human-inspired evolving machines. The book includes basic principles, concepts, algorithms and theoretic results underlined by illustrations. It is dedicated to researchers from the field of fuzzy systems, machine learning, data mining and system identification as well as engineers and technicians who apply data-driven modeling techniques in real-world systems.

Fuzzy Modeling and Control: Theory and Applications

Fernando Matía,G. Nicolás Marichal,Emilio Jiménez
Fuzzy Modeling and Control Theory and Applications Book PDF

Author : Fernando Matía,G. Nicolás Marichal,Emilio Jiménez
Publisher : Springer
Page : 288 pages
File Size : 44,7 Mb
Release : 2014-08-14
Category : Technology & Engineering
ISBN : 9789462390829

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Fuzzy Modeling and Control: Theory and Applications by Fernando Matía,G. Nicolás Marichal,Emilio Jiménez Pdf

Much work on fuzzy control, covering research, development and applications, has been developed in Europe since the 90's. Nevertheless, the existing books in the field are compilations of articles without interconnection or logical structure or they express the personal point of view of the author. This book compiles the developments of researchers with demonstrated experience in the field of fuzzy control following a logic structure and a unified the style. The first chapters of the book are dedicated to the introduction of the main fuzzy logic techniques, where the following chapters focus on concrete applications. This book is supported by the EUSFLAT and CEA-IFAC societies, which include a large number of researchers in the field of fuzzy logic and control. The central topic of the book, Fuzzy Control, is one of the main research and development lines covered by these associations.

New Insights into Toxicity and Drug Testing

Sivakumar Joghi Thatha Gowder
New Insights into Toxicity and Drug Testing Book PDF

Author : Sivakumar Joghi Thatha Gowder
Publisher : BoD – Books on Demand
Page : 255 pages
File Size : 44,6 Mb
Release : 2013-01-23
Category : Medical
ISBN : 9789535109464

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New Insights into Toxicity and Drug Testing by Sivakumar Joghi Thatha Gowder Pdf

This book "New Insights into Toxicity and Drug Testing" covers all emerging technologies (profiling technologies, 3D cultures, next generation sequencing etc.), available methods and models to evaluate candidate drugs and medicinal plants with reference to toxicity, drug testing and development. This book is an original contribution of experts from different parts of the globe and the in-depth information will be a significant resource for scientists and physicians who are directly dealing with drugs / medicines and human life.

Interpretability Issues in Fuzzy Modeling

Jorge Casillas,O. Cordón,Francisco Herrera Triguero,Luis Magdalena
Interpretability Issues in Fuzzy Modeling Book PDF

Author : Jorge Casillas,O. Cordón,Francisco Herrera Triguero,Luis Magdalena
Publisher : Springer
Page : 646 pages
File Size : 55,7 Mb
Release : 2013-06-05
Category : Technology & Engineering
ISBN : 9783540370574

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Interpretability Issues in Fuzzy Modeling by Jorge Casillas,O. Cordón,Francisco Herrera Triguero,Luis Magdalena Pdf

Fuzzy modeling has become one of the most productive and successful results of fuzzy logic. Among others, it has been applied to knowledge discovery, automatic classification, long-term prediction, or medical and engineering analysis. The research developed in the topic during the last two decades has been mainly focused on exploiting the fuzzy model flexibility to obtain the highest accuracy. This approach usually sets aside the interpretability of the obtained models. However, we should remember the initial philosophy of fuzzy sets theory directed to serve the bridge between the human understanding and the machine processing. In this challenge, the ability of fuzzy models to express the behavior of the real system in a comprehensible manner acquires a great importance. This book collects the works of a group of experts in the field that advocate the interpretability improvements as a mechanism to obtain well balanced fuzzy models.

A Comprehensive Assessment of the Role of Risk in U.S. Agriculture

Richard E. Just,Rulon D. Pope
A Comprehensive Assessment of the Role of Risk in U S Agriculture Book PDF

Author : Richard E. Just,Rulon D. Pope
Publisher : Springer Science & Business Media
Page : 608 pages
File Size : 40,5 Mb
Release : 2002
Category : Business & Economics
ISBN : 079237567X

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A Comprehensive Assessment of the Role of Risk in U.S. Agriculture by Richard E. Just,Rulon D. Pope Pdf

After all the research on agricultural risk to date, the treatment of risk in agricultural research is far from harmonious. Many competing risk models have been proposed. Some new methodologies are largely untested. Some of the leading empirical methodologies in agricultural economic research are poorly suited for problems with aggregate data where risk averse behavior is less likely to be important. This book is intended to (i) define the current state of the literature on agricultural risk research, (ii) provide a critical evaluation of economic risk research on agriculture to date and (iii) set a research agenda that will meet future needs and prospects. This type of research promises to become of increasing importance because agricultural policy in the United States and elsewhere has decidedly shifted from explicit income support objectives to risk-related motivations of helping farmers deal with risk. Beginning with the 1996 Farm Bill, the primary set of policy instruments from U.S. agriculture has shifted from target prices and set aside acreage to agricultural crop insurance. Because this book is intended to have specific implications for U.S. agricultural policy, it has a decidedly domestic scope, but clearly many of the issues have application abroad. For each of the papers and topics included in this volume, individuals have been selected to give the strongest and broadest possible treatment of each facet of the problem. The result is this comprehensive reference book on the economics of agricultural risk.

Fuzzy Algorithms for Control

H. B. Verbruggen,Hans-Jürgen Zimmermann,Robert Babuška
Fuzzy Algorithms for Control Book PDF

Author : H. B. Verbruggen,Hans-Jürgen Zimmermann,Robert Babuška
Publisher : Springer Science & Business Media
Page : 353 pages
File Size : 55,8 Mb
Release : 2013-03-09
Category : Mathematics
ISBN : 9789401144056

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Fuzzy Algorithms for Control by H. B. Verbruggen,Hans-Jürgen Zimmermann,Robert Babuška Pdf

Fuzzy Algorithms for Control gives an overview of the research results of a number of European research groups that are active and play a leading role in the field of fuzzy modeling and control. It contains 12 chapters divided into three parts. Chapters in the first part address the position of fuzzy systems in control engineering and in the AI community. State-of-the-art surveys on fuzzy modeling and control are presented along with a critical assessment of the role of these methodologists in control engineering. The second part is concerned with several analysis and design issues in fuzzy control systems. The analytical issues addressed include the algebraic representation of fuzzy models of different types, their approximation properties, and stability analysis of fuzzy control systems. Several design aspects are addressed, including performance specification for control systems in a fuzzy decision-making framework and complexity reduction in multivariable fuzzy systems. In the third part of the book, a number of applications of fuzzy control are presented. It is shown that fuzzy control in combination with other techniques such as fuzzy data analysis is an effective approach to the control of modern processes which present many challenges for the design of control systems. One has to cope with problems such as process nonlinearity, time-varying characteristics for incomplete process knowledge. Examples of real-world industrial applications presented in this book are a blast furnace, a lime kiln and a solar plant. Other examples of challenging problems in which fuzzy logic plays an important role and which are included in this book are mobile robotics and aircraft control. The aim of this book is to address both theoretical and practical subjects in a balanced way. It will therefore be useful for readers from the academic world and also from industry who want to apply fuzzy control in practice.