Uncertain Rule Based Fuzzy Systems

Author : Jerry M. Mendel
Publisher : Springer
Page : 684 pages
File Size : 42,8 Mb
Release : 2017-05-17
Category : Technology & Engineering
ISBN : 9783319513706

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Uncertain Rule-Based Fuzzy Systems by Jerry M. Mendel Pdf

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.

Author : Jerry M. Mendel
Publisher : Prentice Hall
Page : 584 pages
File Size : 52,9 Mb
Release : 2001
Category : Computers
ISBN : UOM:39015049647897

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Uncertain Rule-based Fuzzy Logic Systems by Jerry M. Mendel Pdf

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.

Author : Jerry M. Mendel
Publisher : Springer
Page : 0 pages
File Size : 42,5 Mb
Release : 2023-09-12
Category : Technology & Engineering
ISBN : 3031353773

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Explainable Uncertain Rule-Based Fuzzy Systems by Jerry M. Mendel Pdf

The third edition of this textbook presents a further 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 classification to control and to explainable AI (XAI). This latest edition again begins by introducing classical (type-1) fuzzy sets and systems, and then explains how they can be modified to handle uncertainty, leading to type-2 fuzzy sets and systems. New material is included about how to obtain fuzzy set word models that are needed for XAI, similarity of fuzzy sets, a quantitative methodology that lets one explain in a simple way why the different kinds of fuzzy systems have the potential for performance improvements over each other, and new parameterizations of membership functions that have the potential for achieving even greater performance for all kinds of fuzzy systems. For hands-on experience, the book provides information on accessing MATLAB, Java, and Python software to complement the content. The book features a full suite of classroom material.

Author : Jerry M. Mendel
Publisher : IEEE
Page : 250 pages
File Size : 43,6 Mb
Release : 2001-12
Category : Technology & Engineering
ISBN : 0780348346

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Introduction to Rule-Based Fuzzy Logic Systems by Jerry M. Mendel Pdf

Author : Rómulo Antão
Publisher : Springer
Page : 130 pages
File Size : 47,6 Mb
Release : 2017-07-23
Category : Technology & Engineering
ISBN : 9789811046339

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Type-2 Fuzzy Logic by Rómulo Antão Pdf

This book focuses on a particular domain of Type-2 Fuzzy Logic, related to process modeling and control applications. It deepens readers’understanding of Type-2 Fuzzy Logic with regard to the following three topics: using simpler methods to train a Type-2 Takagi-Sugeno Fuzzy Model; using the principles of Type-2 Fuzzy Logic to reduce the influence of modeling uncertainties on a locally linear n-step ahead predictor; and developing model-based control algorithms according to the Generalized Predictive Control principles using Type-2 Fuzzy Sets. Throughout the book, theory is always complemented with practical applications and readers are invited to take their learning process one step farther and implement their own applications using the algorithms’ source codes (provided). As such, the book offers avaluable referenceguide for allengineers and researchers in the field ofcomputer science who are interested in intelligent systems, rule-based systems and modeling uncertainty.

Author : Andras - Bardossy,Lucien Duckstein
Publisher : CRC Press
Page : 245 pages
File Size : 55,9 Mb
Release : 2022-10-07
Category : Technology & Engineering
ISBN : 9780429610868

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Fuzzy Rule-Based Modeling with Applications to Geophysical, Biological, and Engineering Systems by Andras - Bardossy,Lucien Duckstein Pdf

This book presents in a systematic and comprehensive manner the modeling of uncertainty, vagueness, or imprecision, alias "fuzziness," in just about any field of science and engineering. It delivers a usable methodology for modeling in the absence of real-time feedback. The book includes a short introduction to fuzzy logic containing basic definitions of fuzzy set theory and fuzzy rule systems. It describes methods for the assessment of rule systems, systems with discrete response sets, for modeling time series, for exact physical systems, examines verification and redundancy issues, and investigates rule response functions. Definitions and propositions, some of which have not been published elsewhere, are provided; numerous examples as well as references to more elaborate case studies are also given. Fuzzy rule-based modeling has the potential to revolutionize fields such as hydrology because it can handle uncertainty in modeling problems too complex to be approached by a stochastic analysis. There is also excellent potential for handling large-scale systems such as regionalization or highly non-linear problems such as unsaturated groundwater pollution.

Author : Jose Maria Alonso Moral,Ciro Castiello,Luis Magdalena,Corrado Mencar
Publisher : Springer Nature
Page : 232 pages
File Size : 46,6 Mb
Release : 2021-04-07
Category : Technology & Engineering
ISBN : 9783030710989

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Explainable Fuzzy Systems by Jose Maria Alonso Moral,Ciro Castiello,Luis Magdalena,Corrado Mencar Pdf

The importance of Trustworthy and Explainable Artificial Intelligence (XAI) is recognized in academia, industry and society. This book introduces tools for dealing with imprecision and uncertainty in XAI applications where explanations are demanded, mainly in natural language. Design of Explainable Fuzzy Systems (EXFS) is rooted in Interpretable Fuzzy Systems, which are thoroughly covered in the book. The idea of interpretability in fuzzy systems, which is grounded on mathematical constraints and assessment functions, is firstly introduced. Then, design methodologies are described. Finally, the book shows with practical examples how to design EXFS from interpretable fuzzy systems and natural language generation. This approach is supported by open source software. The book is intended for researchers, students and practitioners who wish to explore EXFS from theoretical and practical viewpoints. The breadth of coverage will inspire novel applications and scientific advancements.

Author : Asli Celikyilmaz,I. Burhan Türksen
Publisher : Springer
Page : 400 pages
File Size : 49,7 Mb
Release : 2009-04-01
Category : Computers
ISBN : 9783540899242

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Modeling Uncertainty with Fuzzy Logic by Asli Celikyilmaz,I. Burhan Türksen Pdf

The world we live in is pervaded with uncertainty and imprecision. Is it likely to rain this afternoon? Should I take an umbrella with me? Will I be able to find parking near the campus? Should I go by bus? Such simple questions are a c- mon occurrence in our daily lives. Less simple examples: What is the probability that the price of oil will rise sharply in the near future? Should I buy Chevron stock? What are the chances that a bailout of GM, Ford and Chrysler will not s- ceed? What will be the consequences? Note that the examples in question involve both uncertainty and imprecision. In the real world, this is the norm rather than exception. There is a deep-seated tradition in science of employing probability theory, and only probability theory, to deal with uncertainty and imprecision. The mon- oly of probability theory came to an end when fuzzy logic made its debut. H- ever, this is by no means a widely accepted view. The belief persists, especially within the probability community, that probability theory is all that is needed to deal with uncertainty. To quote a prominent Bayesian, Professor Dennis Lindley, “The only satisfactory description of uncertainty is probability.

Author : Guanrong Chen,Trung Tat Pham
Publisher : CRC Press
Page : 328 pages
File Size : 47,8 Mb
Release : 2000-11-27
Category : Mathematics
ISBN : 9781420039818

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Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems by Guanrong Chen,Trung Tat Pham Pdf

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

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 1765 pages
File Size : 47,7 Mb
Release : 2017-02-22
Category : Mathematics
ISBN : 9781522519096

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Fuzzy Systems: Concepts, Methodologies, Tools, and Applications by Management Association, Information Resources Pdf

There are a myriad of mathematical problems that cannot be solved using traditional methods. The development of fuzzy expert systems has provided new opportunities for problem-solving amidst uncertainties. Fuzzy Systems: Concepts, Methodologies, Tools, and Applications is a comprehensive reference source on the latest scholarly research and developments in fuzzy rule-based methods and examines both theoretical foundations and real-world utilization of these logic sets. Featuring a range of extensive coverage across innovative topics, such as fuzzy logic, rule-based systems, and fuzzy analysis, this is an essential publication for scientists, doctors, engineers, physicians, and researchers interested in emerging perspectives and uses of fuzzy systems in various sectors.

Author : Lotfi Asker Zadeh
Publisher : Wiley-Interscience
Page : 696 pages
File Size : 43,5 Mb
Release : 1992-07-30
Category : Computers
ISBN : UOM:39015025259287

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Fuzzy Logic for the Management of Uncertainty by Lotfi Asker Zadeh Pdf

Fuzzy Logic for the Management of Uncertainty covers many important topics, including:" "Developments in mathematics that have paved the road for fuzzy logic;" "Deep, and of a broad perspective, exposition of virtually all approaches used in contemporary science for the representation and handling of imperfect (uncertain, imprecise, vague, ambiguous, etc.) information;" "Coverage of practically all relevant and promising directions and approaches in fuzzy logic research including LT--fuzzy logic, model theoretic approaches, intuitionistic fuzzy logic, nonmonotonic fuzzy logic, modifier fuzzy logic;" "VLSI fuzzy logic-based chips that have triggered the implementation of fuzzy logic in so many fields of science and technology;" "A broad coverage of fuzzy logic in approximate reasoning, including basic issues related to the role of fuzzy logic for approximate reasoning, analyses of various definitions of fuzzy implication that is a crucial element in fuzzy logic-based reasoning schemes,

Author : Bingyuan Cao,Tai-Fu Li,Cheng-Yi Zhang
Publisher : Springer Science & Business Media
Page : 1754 pages
File Size : 46,6 Mb
Release : 2009-10-14
Category : Technology & Engineering
ISBN : 9783642036644

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Fuzzy Information and Engineering Volume 2 by Bingyuan Cao,Tai-Fu Li,Cheng-Yi Zhang Pdf

This book is the proceedings of the Third International Conference on Fuzzy Information and Engineering (ICFIE 2009) held in the famous mountain city Chongqing in Southwestern China, from September 26-29, 2009. Only high-quality papers are included. The ICFIE 2009, built on the success of previous conferences, the ICFIE 2007 (Guangzhou, China), is a major symposium for scientists, engineers and practitioners in the world to present their updated results, ideas, developments and applications in all areas of fuzzy information and engineering. It aims to strengthen relations between industry research laboratories and universities, and to create a primary symposium for world scientists in fuzzy fields as follows: Fuzzy Information; Fuzzy Sets and Systems; Soft Computing; Fuzzy Engineering; Fuzzy Operation Research and Management; Artificial Intelligence; Fuzzy Mathematics and Systems in Applications, etc.

Author : Nadia Nedjah,Luiza de Macedo Mourelle
Publisher : Springer Science & Business Media
Page : 252 pages
File Size : 42,9 Mb
Release : 2005-05-20
Category : Computers
ISBN : 354025322X

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Fuzzy Systems Engineering by Nadia Nedjah,Luiza de Macedo Mourelle Pdf

This book is devoted to reporting innovative and significant progress in fuzzy system engineering. Given the maturation of fuzzy logic, this book is dedicated to exploring the recent breakthroughs in fuzziness and soft computing in favour of intelligent system engineering. This monograph presents novel developments of the fuzzy theory as well as interesting applications of the fuzzy logic exploiting the theory to engineer intelligent systems.

Author : Janusz T. Starczewski
Publisher : Springer
Page : 308 pages
File Size : 46,5 Mb
Release : 2012-08-27
Category : Technology & Engineering
ISBN : 9783642295201

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Advanced Concepts in Fuzzy Logic and Systems with Membership Uncertainty by Janusz T. Starczewski Pdf

This book generalizes fuzzy logic systems for different types of uncertainty, including - semantic ambiguity resulting from limited perception or lack of knowledge about exact membership functions - lack of attributes or granularity arising from discretization of real data - imprecise description of membership functions - vagueness perceived as fuzzification of conditional attributes. Consequently, the membership uncertainty can be modeled by combining methods of conventional and type-2 fuzzy logic, rough set theory and possibility theory. In particular, this book provides a number of formulae for implementing the operation extended on fuzzy-valued fuzzy sets and presents some basic structures of generalized uncertain fuzzy logic systems, as well as introduces several of methods to generate fuzzy membership uncertainty. It is desirable as a reference book for under-graduates in higher education, master and doctor graduates in the courses of computer science, computational intelligence, or fuzzy control and classification, and is especially dedicated to researchers and practitioners in industry.

Author : Wudhichai Assawinchaichote,Sing Kiong Nguang,Peng Shi
Publisher : Springer
Page : 180 pages
File Size : 46,6 Mb
Release : 2007-07-14
Category : Technology & Engineering
ISBN : 9783540370123

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Fuzzy Control and Filter Design for Uncertain Fuzzy Systems by Wudhichai Assawinchaichote,Sing Kiong Nguang,Peng Shi Pdf

Most real physical systems are nonlinear in nature. Control and ?ltering of nonlinear systems are still open problems due to their complexity natures. These problem becomes more complex when the system’s parameters are - certain. A common approach to designing a controller/?lter for an uncertain nonlinear system is to linearize the system about an operating point, and uses linear control theory to design a controller/?lter. This approach is successful when the operating point of the system is restricted to a certain region. H- ever, when a wide range operation of the system is required, this method may fail. ThisbookpresentsnewnovelmethodologiesfordesigningrobustH fuzzy ? controllers and robustH fuzzy ?lters for a class of uncertain fuzzy systems ? (UFSs), uncertain fuzzy Markovian jump systems (UFMJSs), uncertain fuzzy singularly perturbed systems (UFSPSs) and uncertain fuzzy singularly p- turbed systems with Markovian jumps (UFSPS–MJs). These new meth- ologies provide a framework for designing robustH fuzzy controllers and ? robustH fuzzy ?lters for these classes of systems based on a Tagaki-Sugeno ? (TS) fuzzy model. Solutions to the design problems are presented in terms of linear matrix inequalities (LMIs). To investigate the design problems, we ?rst describe a class of uncertain nonlinear systems (UNSs), uncertain nonlinear Markovianjumpsystems(UNMJSs),uncertainnonlinearsingularlyperturbed systems(UNSPSs)anduncertainnonlinearsingularlyperturbedsystemswith Markovian jumps (UNSPS–MJs) by a TS fuzzy system with parametric - certainties and with/without Markovian jumps. Then, based on an LMI - proach, we develop a technique for designing robustH fuzzy controllers and ? robustH fuzzy ?lters such that a given prescribed performance index is ? guaranteed.