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| Author | : Jerry M. Mendel |
| Publisher | : Springer |
| Total Pages | : 0 |
| Release | : 2023-09-12 |
| Genre | : Technology & Engineering |
| ISBN | : 9783031353772 |
Download Explainable Uncertain Rule-Based Fuzzy Systems Book in PDF, ePub and Kindle
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 | : Springer |
| Total Pages | : 701 |
| Release | : 2017-05-17 |
| Genre | : Technology & Engineering |
| ISBN | : 3319513702 |
Download Uncertain Rule-Based Fuzzy Systems Book in PDF, ePub and Kindle
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 |
| Total Pages | : 584 |
| Release | : 2001 |
| Genre | : Computers |
| ISBN | : |
Download Uncertain Rule-based Fuzzy Logic Systems Book in PDF, ePub and Kindle
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 | : Jose Maria Alonso Moral |
| Publisher | : Springer |
| Total Pages | : 0 |
| Release | : 2022-04-08 |
| Genre | : Technology & Engineering |
| ISBN | : 9783030711009 |
Download Explainable Fuzzy Systems Book in PDF, ePub and Kindle
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 | : Jerry M. Mendel |
| Publisher | : IEEE |
| Total Pages | : 250 |
| Release | : 2001-12 |
| Genre | : Technology & Engineering |
| ISBN | : 9780780348349 |
Download Introduction to Rule-Based Fuzzy Logic Systems Book in PDF, ePub and Kindle
| Author | : Julia Rayz |
| Publisher | : Springer Nature |
| Total Pages | : 506 |
| Release | : 2021-07-27 |
| Genre | : Technology & Engineering |
| ISBN | : 3030820998 |
Download Explainable AI and Other Applications of Fuzzy Techniques Book in PDF, ePub and Kindle
This book focuses on an overview of the AI techniques, their foundations, their applications, and remaining challenges and open problems. Many artificial intelligence (AI) techniques do not explain their recommendations. Providing natural-language explanations for numerical AI recommendations is one of the main challenges of modern AI. To provide such explanations, a natural idea is to use techniques specifically designed to relate numerical recommendations and natural-language descriptions, namely fuzzy techniques. This book is of interest to practitioners who want to use fuzzy techniques to make AI applications explainable, to researchers who may want to extend the ideas from these papers to new application areas, and to graduate students who are interested in the state-of-the-art of fuzzy techniques and of explainable AI—in short, to anyone who is interested in problems involving fuzziness and AI in general.
| Author | : Jose Maria Alonso Moral |
| Publisher | : Springer Nature |
| Total Pages | : 232 |
| Release | : 2021-04-07 |
| Genre | : Technology & Engineering |
| ISBN | : 303071098X |
Download Explainable Fuzzy Systems Book in PDF, ePub and Kindle
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 | : Andras - Bardossy |
| Publisher | : CRC Press |
| Total Pages | : 245 |
| Release | : 2022-10-07 |
| Genre | : Technology & Engineering |
| ISBN | : 0429610866 |
Download Fuzzy Rule-Based Modeling with Applications to Geophysical, Biological, and Engineering Systems Book in PDF, ePub and Kindle
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 | : Management Association, Information Resources |
| Publisher | : IGI Global |
| Total Pages | : 1795 |
| Release | : 2017-02-22 |
| Genre | : Mathematics |
| ISBN | : 1522519092 |
Download Fuzzy Systems: Concepts, Methodologies, Tools, and Applications Book in PDF, ePub and Kindle
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 | : Hung T. Nguyen |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 532 |
| Release | : 2012-12-06 |
| Genre | : Mathematics |
| ISBN | : 1461555051 |
Download Fuzzy Systems Book in PDF, ePub and Kindle
The analysis and control of complex systems have been the main motivation for the emergence of fuzzy set theory since its inception. It is also a major research field where many applications, especially industrial ones, have made fuzzy logic famous. This unique handbook is devoted to an extensive, organized, and up-to-date presentation of fuzzy systems engineering methods. The book includes detailed material and extensive bibliographies, written by leading experts in the field, on topics such as: Use of fuzzy logic in various control systems. Fuzzy rule-based modeling and its universal approximation properties. Learning and tuning techniques for fuzzy models, using neural networks and genetic algorithms. Fuzzy control methods, including issues such as stability analysis and design techniques, as well as the relationship with traditional linear control. Fuzzy sets relation to the study of chaotic systems, and the fuzzy extension of set-valued approaches to systems modeling through the use of differential inclusions. Fuzzy Systems: Modeling and Control is part of The Handbooks of Fuzzy Sets Series. The series provides a complete picture of contemporary fuzzy set theory and its applications. This volume is a key reference for systems engineers and scientists seeking a guide to the vast amount of literature in fuzzy logic modeling and control.
