Interval Type 3 Fuzzy Systems Theory And Design

Author : Oscar Castillo,Juan R. Castro,Patricia Melin
Publisher : Springer Nature
Page : 109 pages
File Size : 50,7 Mb
Release : 2022-03-13
Category : Technology & Engineering
ISBN : 9783030965150

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Interval Type-3 Fuzzy Systems: Theory and Design by Oscar Castillo,Juan R. Castro,Patricia Melin Pdf

This book briefly reviews the basic concepts of type-2 fuzzy systems and then describes the proposed definitions for interval type-3 fuzzy sets and relations, also interval type-3 inference and systems. The use of type-2 fuzzy systems has become widespread in the leading economy sectors, especially in industrial and application areas, such as services, health, defense, and so on. However, recently the use of interval type-3 fuzzy systems has been receiving increasing attention and some successful applications have been developed in the last year. These issues were taken into consideration for this book, as we did realize that there was a need to offer the main theoretical concepts of type-3 fuzzy logic, as well as methods to design, develop and implement the type-3 fuzzy systems. A review of basic concepts and their use in the design and implementation of interval type-3 fuzzy systems, which are relatively new models of uncertainty and imprecision, are presented. The main focus of this work is based on the basic reasons of the need for interval type-3 fuzzy systems in different areas of application. In addition, we describe methods for designing interval type-3 fuzzy systems and illustrate this with some examples and simulations.

Author : Oscar Castillo,Patricia Melin
Publisher : Springer Nature
Page : 89 pages
File Size : 47,7 Mb
Release : 2023-12-17
Category : Technology & Engineering
ISBN : 9783031460883

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Type-3 Fuzzy Logic in Intelligent Control by Oscar Castillo,Patricia Melin Pdf

This book focuses on the field of type-3 fuzzy logic, also considering metaheuristics for applications in the control area. The main idea is that these areas together can solve various control problems and find better results. In this book, we test the proposed method using several benchmark problems, such as the problem for filling a water tank and the problem for controlling the trajectory in an autonomous mobile robot. We notice that when interval type-3 fuzzy systems are implemented to model the behavior of the systems, the results in control show a better stabilization, because the management of uncertainty is better. For this reason, we consider in this book the proposed method using type-3 fuzzy systems, fuzzy controllers, and metaheuristic algorithms to improve the control behavior of complex nonlinear plants. This book is intended to be a reference for scientists and engineers interested in applying type-3 fuzzy logic techniques for solving problems in intelligent control. We consider that this book can also be used to get novel ideas for new lines of research, or to continue the lines of research proposed by the authors of the book

Author : Oscar Castillo,Patricia Melin
Publisher : Springer Nature
Page : 489 pages
File Size : 44,7 Mb
Release : 2023-06-12
Category : Technology & Engineering
ISBN : 9783031289996

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Hybrid Intelligent Systems Based on Extensions of Fuzzy Logic, Neural Networks and Metaheuristics by Oscar Castillo,Patricia Melin Pdf

In this book, recent theoretical developments on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, are presented. In addition, the above-mentioned methods are presented in application areas such as, intelligent control and robotics, pattern recognition, medical diagnosis, decision-making, time series prediction and optimization of complex problems. The book contains a collection of papers focused on hybrid intelligent systems based on soft computing techniques. There are a group of papers with the main theme of type-1 and type-2 fuzzy logic, which basically consists of papers that propose new concepts and algorithms based on type-1 and type-2 fuzzy logic and their applications. There also a group of papers that offer theoretical concepts and applications of meta-heuristics in different areas. Another group of papers outlines diverse applications of fuzzy logic, neural networks and hybrid intelligent systems in medical problems. There are also some papers that present theory and practice of neural networks in different application areas. In addition, there are papers that offer theory and practice of optimization and evolutionary algorithms in different application areas. Finally, there are a group of papers describing applications of fuzzy logic, neural networks and meta-heuristics in pattern recognition and classification problems.

Author : Oscar Castillo
Publisher : Springer Nature
Page : 102 pages
File Size : 46,9 Mb
Release : 2024-06-29
Category : Electronic
ISBN : 9783031597145

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Type-3 Fuzzy Logic in Time Series Prediction by Oscar Castillo Pdf

Author : Patricia Melin
Publisher : Springer Nature
Page : 204 pages
File Size : 55,9 Mb
Release : 2024-06-29
Category : Electronic
ISBN : 9783031537134

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New Directions on Hybrid Intelligent Systems Based on Neural Networks, Fuzzy Logic, and Optimization Algorithms by Patricia Melin Pdf

Author : Oscar Castillo
Publisher : Springer Nature
Page : 422 pages
File Size : 53,9 Mb
Release : 2024-06-29
Category : Electronic
ISBN : 9783031556845

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New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics by Oscar Castillo Pdf

Author : Teodor Lucian Grigorie
Publisher : BoD – Books on Demand
Page : 386 pages
File Size : 47,9 Mb
Release : 2011-02-28
Category : Computers
ISBN : 9789533075433

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Fuzzy Controllers by Teodor Lucian Grigorie Pdf

Trying to meet the requirements in the field, present book treats different fuzzy control architectures both in terms of the theoretical design and in terms of comparative validation studies in various applications, numerically simulated or experimentally developed. Through the subject matter and through the inter and multidisciplinary content, this book is addressed mainly to the researchers, doctoral students and students interested in developing new applications of intelligent control, but also to the people who want to become familiar with the control concepts based on fuzzy techniques. Bibliographic resources used to perform the work includes books and articles of present interest in the field, published in prestigious journals and publishing houses, and websites dedicated to various applications of fuzzy control. Its structure and the presented studies include the book in the category of those who make a direct connection between theoretical developments and practical applications, thereby constituting a real support for the specialists in artificial intelligence, modelling and control fields.

Author : Jerry M. Mendel
Publisher : Springer
Page : 684 pages
File Size : 49,8 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 : Hongyi Li,Ligang Wu,Hak-Keung Lam,Yabin Gao
Publisher : Springer
Page : 257 pages
File Size : 43,5 Mb
Release : 2016-02-29
Category : Technology & Engineering
ISBN : 9789811005930

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Analysis and Synthesis for Interval Type-2 Fuzzy-Model-Based Systems by Hongyi Li,Ligang Wu,Hak-Keung Lam,Yabin Gao Pdf

This book develops a set of reference methods capable of modeling uncertainties existing in membership functions, and analyzing and synthesizing the interval type-2 fuzzy systems with desired performances. It also provides numerous simulation results for various examples, which fill certain gaps in this area of research and may serve as benchmark solutions for the readers. Interval type-2 T-S fuzzy models provide a convenient and flexible method for analysis and synthesis of complex nonlinear systems with uncertainties.

Author : Oscar Castillo,Patricia Melin
Publisher : Springer Science & Business Media
Page : 252 pages
File Size : 49,6 Mb
Release : 2008-02-20
Category : Mathematics
ISBN : 9783540762836

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Type-2 Fuzzy Logic: Theory and Applications by Oscar Castillo,Patricia Melin Pdf

This book describes new methods for building intelligent systems using type-2 fuzzy logic and soft computing (SC) techniques. The authors extend the use of fuzzy logic to a higher order, which is called type-2 fuzzy logic. Combining type-2 fuzzy logic with traditional SC techniques, we can build powerful hybrid intelligent systems that can use the advantages that each technique offers. This book is intended to be a major reference tool and can be used as a textbook.

Author : Patricia Melin,Oscar Castillo,Eduardo G. Ramírez,Witold Pedrycz
Publisher : Springer Science & Business Media
Page : 855 pages
File Size : 47,7 Mb
Release : 2007-09-20
Category : Technology & Engineering
ISBN : 9783540724322

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Analysis and Design of Intelligent Systems Using Soft Computing Techniques by Patricia Melin,Oscar Castillo,Eduardo G. Ramírez,Witold Pedrycz Pdf

This book comprises a selection of papers on new methods for analysis and design of hybrid intelligent systems using soft computing techniques from the IFSA 2007 World Congress, held in Cancun, Mexico, June 2007.

Author : A.J. Tallón-Ballesteros,K. Li
Publisher : IOS Press
Page : 990 pages
File Size : 49,6 Mb
Release : 2018-11-06
Category : Computers
ISBN : 9781614999270

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Fuzzy Systems and Data Mining IV by A.J. Tallón-Ballesteros,K. Li Pdf

Big Data Analytics is on the rise in the last years of the current decade. Data are overwhelming the computation capacity of high performance servers. Cloud, grid, edge and fog computing are a few examples of the current hype. Computational Intelligence offers two faces to deal with the development of models: on the one hand, the crisp approach, which considers for every variable an exact value and, on the other hand, the fuzzy focus, which copes with values between two boundaries. This book presents 114 papers from the 4th International Conference on Fuzzy Systems and Data Mining (FSDM 2018), held in Bangkok, Thailand, from 16 to 19 November 2018. All papers were carefully reviewed by program committee members, who took into consideration the breadth and depth of the research topics that fall within the scope of FSDM. The acceptance rate was 32.85% . Offering a state-of-the-art overview of fuzzy systems and data mining, the publication will be of interest to all those whose work involves data science.

Author : R.W. Hndoosh,M.S. Saroa,S. Kumar
Publisher : GRIN Verlag
Page : 13 pages
File Size : 40,8 Mb
Release : 2015-04-14
Category : Computers
ISBN : 9783656942276

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Modelling of an Interval Type-2 Fussy Logic System (IT2 FLS) on Continuous Domain with Medical Application by R.W. Hndoosh,M.S. Saroa,S. Kumar Pdf

Academic Paper from the year 2015 in the subject Computer Science - Applied, , course: ph.d, language: English, abstract: An overview and a derivation of interval type-2 fussy logic system (IT2 FLS), which can handle rule’s uncertainties on continuous domain, having good number of applications in real world. This work fo-cused on the performance of an IT2 FLS that involves the operations of a fuzzification, inference, and output processing. The output processing consists of Type-Reduction (TR) and defuzzification. This work made IT2 FLS much more accessible to FLS modellers, because it provides mathematical formulation for calculating the de-rivatives. Presenting extend to representation of T2 FSs on continuous domain and using it to derive formulas for operations, we developed and extended the derivation of the union of two IT2 FSs to the derivation of the intersection and union of N-IT2 FSs that is based on various concepts. The derivation of all the formulas that are related with an IT2 and these formulas depend on continuous domain with multiple rules. Each rule has multiple antecedents that are activated by a crisp number with T2 singleton fuzzification (SF). Then, we have shown how those results can be extended to T2 non-singleton fuzzification (NSF). We are derived the relation-ship between the consequent and the domain of uncertainty (DOU) of the T2 fired output FS. As well as, provide the derivation of the general form at continuous domain to calculate the different kinds of type-reduced. We have also applied an IT2 FLS to medical application of Heart Diseases (HDs) and an IT2 provide rather modest performance improvements over the T1 predictor. Finally, we made a comparison of HDs result between IT2 FLS using the IT2FLS in MATLAB and the IT2 FLS in Visual C# models with T1 FISs (Mamdani, and Takagi-Sugeno).

Author : Fouad Sabry
Publisher : One Billion Knowledgeable
Page : 132 pages
File Size : 43,8 Mb
Release : 2023-06-25
Category : Computers
ISBN : PKEY:6610000470167

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Fuzzy Systems by Fouad Sabry Pdf

What Is Fuzzy Systems Fuzzy logic is a mathematical system that analyzes analog input data in terms of logical variables that take on continuous values between 0 and 1, in contrast to classical or digital logic, which operates on discrete values of either 1 or 0. A fuzzy control system is a control system that is based on fuzzy logic. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Fuzzy Control System Chapter 2: Control Theory Chapter 3: Fuzzy Logic Chapter 4: Fuzzy Set Chapter 5: Control System Chapter 6: Intelligent Control Chapter 7: Defuzzification Chapter 8: Genetic Fuzzy Systems Chapter 9: Fuzzy Rule Chapter 10: Type-2 Fuzzy Sets and Systems (II) Answering the public top questions about fuzzy systems. (III) Real world examples for the usage of fuzzy systems in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of fuzzy systems' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of fuzzy systems.

Author : Ildar Batyrshin,Grigori Sidorov
Publisher : Springer
Page : 556 pages
File Size : 49,8 Mb
Release : 2011-11-22
Category : Computers
ISBN : 9783642253300

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Advances in Soft Computing by Ildar Batyrshin,Grigori Sidorov Pdf

The two-volume set LNAI 7094 and 7095 constitutes the refereed proceedings of the 10th Mexican International Conference on Artificial Intelligence, MICAI 2011, held in Puebla, Mexico, in November/December 2011. The 96 revised papers presented were carefully selected from XXX submissions. The second volume contains 46 papers focusing on soft computing. The papers are organized in the following topical sections: fuzzy logic, uncertainty and probabilistic reasoning; evolutionary algorithms and other naturally-inspired algorithms; data mining; neural networks and hybrid intelligent systems; and computer vision and image processing.