Introduction To Fuzzy Systems PDF Download

Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Introduction To Fuzzy Systems PDF full book. Access full book title Introduction To Fuzzy Systems.

Introduction to Fuzzy Systems

Introduction to Fuzzy Systems
Author: Guanrong Chen
Publisher: CRC Press
Total Pages: 332
Release: 2005-11-16
Genre: Technology & Engineering
ISBN: 1584885319
GET BOOK

Download Introduction to Fuzzy Systems Book in PDF, ePub and Kindle

Introduction to Fuzzy Systems provides students with a self-contained introduction that requires no preliminary knowledge of fuzzy mathematics and fuzzy control systems theory. Simplified and readily accessible, it encourages both classroom and self-directed learners to build a solid foundation in fuzzy systems. After introducing the subject, the authors move directly into presenting real-world applications of fuzzy logic, revealing its practical flavor. This practicality is then followed by basic fuzzy systems theory. The book also offers a tutorial on fuzzy control theory, based mainly on the well-known classical Proportional-Integral-Derivative (PID) controllers theory and design methods. In particular, the text discusses fuzzy PID controllers in detail, including a description of the new notion of generalized verb-based fuzzy-logic control theory. Introduction to Fuzzy Systems is primarily designed to provide training for systems and control majors, both senior undergraduate and first year graduate students, to acquaint them with the fundamental mathematical theory and design methodology required to understand and utilize fuzzy control systems.

Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems

Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems
Author: Guanrong Chen
Publisher: CRC Press
Total Pages: 329
Release: 2000-11-27
Genre: Mathematics
ISBN: 1420039814
GET BOOK

Download Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems Book in PDF, ePub and Kindle

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

An Introduction to Fuzzy Logic and Fuzzy Sets

An Introduction to Fuzzy Logic and Fuzzy Sets
Author: James J. Buckley
Publisher: Springer Science & Business Media
Total Pages: 287
Release: 2013-11-11
Genre: Computers
ISBN: 3790817996
GET BOOK

Download An Introduction to Fuzzy Logic and Fuzzy Sets Book in PDF, ePub and Kindle

This book is an excellent starting point for any curriculum in fuzzy systems fields such as computer science, mathematics, business/economics and engineering. It covers the basics leading to: fuzzy clustering, fuzzy pattern recognition, fuzzy database, fuzzy image processing, soft computing, fuzzy applications in operations research, fuzzy decision making, fuzzy rule based systems, fuzzy systems modeling, fuzzy mathematics. It is not a book designed for researchers - it is where you really learn the "basics" needed for any of the above-mentioned applications. It includes many figures and problem sets at the end of sections.

Fuzzy Logic

Fuzzy Logic
Author: Enric Trillas
Publisher: Springer
Total Pages: 211
Release: 2015-01-12
Genre: Technology & Engineering
ISBN: 3319142038
GET BOOK

Download Fuzzy Logic Book in PDF, ePub and Kindle

This book introduces readers to fundamental concepts in fuzzy logic. It describes the necessary theoretical background and a number of basic mathematical models. Moreover, it makes them familiar with fuzzy control, an important topic in the engineering field. The book offers an unconventional introductory textbook on fuzzy logic, presenting theory together with examples and not always following the typical mathematical style of theorem-corollaries. Primarily intended to support engineers during their university studies, and to spark their curiosity about fuzzy logic and its applications, the book is also suitable for self-study, providing a valuable resource for engineers and professionals who deal with imprecision and non-random uncertainty in real-world applications.

Introduction to Genetic Algorithms

Introduction to Genetic Algorithms
Author: S.N. Sivanandam
Publisher: Springer Science & Business Media
Total Pages: 453
Release: 2007-10-24
Genre: Technology & Engineering
ISBN: 3540731903
GET BOOK

Download Introduction to Genetic Algorithms Book in PDF, ePub and Kindle

This book offers a basic introduction to genetic algorithms. It provides a detailed explanation of genetic algorithm concepts and examines numerous genetic algorithm optimization problems. In addition, the book presents implementation of optimization problems using C and C++ as well as simulated solutions for genetic algorithm problems using MATLAB 7.0. It also includes application case studies on genetic algorithms in emerging fields.

An Introduction to Fuzzy Logic Applications in Intelligent Systems

An Introduction to Fuzzy Logic Applications in Intelligent Systems
Author: Ronald R. Yager
Publisher: Springer Science & Business Media
Total Pages: 358
Release: 2012-12-06
Genre: Computers
ISBN: 1461536405
GET BOOK

Download An Introduction to Fuzzy Logic Applications in Intelligent Systems Book in PDF, ePub and Kindle

An Introduction to Fuzzy Logic Applications in Intelligent Systems consists of a collection of chapters written by leading experts in the field of fuzzy sets. Each chapter addresses an area where fuzzy sets have been applied to situations broadly related to intelligent systems. The volume provides an introduction to and an overview of recent applications of fuzzy sets to various areas of intelligent systems. Its purpose is to provide information and easy access for people new to the field. The book also serves as an excellent reference for researchers in the field and those working in the specifics of systems development. People in computer science, especially those in artificial intelligence, knowledge-based systems, and intelligent systems will find this to be a valuable sourcebook. Engineers, particularly control engineers, will also have a strong interest in this book. Finally, the book will be of interest to researchers working in decision support systems, operations research, decision theory, management science and applied mathematics. An Introduction to Fuzzy Logic Applications in Intelligent Systems may also be used as an introductory text and, as such, it is tutorial in nature.

Introduction to Fuzzy Logic

Introduction to Fuzzy Logic
Author: James K. Peckol
Publisher: John Wiley & Sons
Total Pages: 308
Release: 2021-08-02
Genre: Technology & Engineering
ISBN: 1119772613
GET BOOK

Download Introduction to Fuzzy Logic Book in PDF, ePub and Kindle

Learn more about the history, foundations, and applications of fuzzy logic in this comprehensive resource by an academic leader Introduction to Fuzzy Logic delivers a high-level but accessible introduction to the rapidly growing and evolving field of fuzzy logic and its applications. Distinguished engineer, academic, and author James K. Peckol covers a wide variety of practical topics, including the differences between crisp and fuzzy logic, the people and professions who find fuzzy logic useful, and the advantages of using fuzzy logic. While the book assumes a solid foundation in embedded systems, including basic logic design, and C/C++ programming, it is written in a practical and easy-to-read style that engages the reader and assists in learning and retention. The author includes introductions of threshold and perceptron logic to further enhance the applicability of the material contained within. After introducing readers to the topic with a brief description of the history and development of the field, Introduction to Fuzzy Logic goes on to discuss a wide variety of foundational and advanced topics, like: A review of Boolean algebra, including logic minimization with algebraic means and Karnaugh maps A discussion of crisp sets, including classic set membership, set theory and operations, and basic classical crisp set properties A discussion of fuzzy sets, including the foundations of fuzzy sets logic, set membership functions, and fuzzy set properties An analysis of fuzzy inference and approximate reasoning, along with the concepts of containment and entailment and relations between fuzzy subsets Perfect for mid-level and upper-level undergraduate and graduate students in electrical, mechanical, and computer engineering courses, Introduction to Fuzzy Logic covers topics included in many artificial intelligence, computational intelligence, and soft computing courses. Math students and professionals in a wide variety of fields will also significantly benefit from the material covered in this book.

Introduction to Neuro-Fuzzy Systems

Introduction to Neuro-Fuzzy Systems
Author: Robert Fuller
Publisher: Springer Science & Business Media
Total Pages: 300
Release: 2013-06-05
Genre: Computers
ISBN: 3790818526
GET BOOK

Download Introduction to Neuro-Fuzzy Systems Book in PDF, ePub and Kindle

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.

Introduction To Type-2 Fuzzy Logic Control

Introduction To Type-2 Fuzzy Logic Control
Author: Jerry Mendel
Publisher: John Wiley & Sons
Total Pages: 470
Release: 2014-06-16
Genre: Technology & Engineering
ISBN: 1118901444
GET BOOK

Download Introduction To Type-2 Fuzzy Logic Control Book in PDF, ePub and Kindle

An introductory book that provides theoretical, practical, and application coverage of the emerging field of type-2 fuzzy logic control Until recently, little was known about type-2 fuzzy controllers due to the lack of basic calculation methods available for type-2 fuzzy sets and logic—and many different aspects of type-2 fuzzy control still needed to be investigated in order to advance this new and powerful technology. This self-contained reference covers everything readers need to know about the growing field. Written with an educational focus in mind, Introduction to Type-2 Fuzzy Logic Control: Theory and Applications uses a coherent structure and uniform mathematical notations to link chapters that are closely related, reflecting the book’s central themes: analysis and design of type-2 fuzzy control systems. The book includes worked examples, experiment and simulation results, and comprehensive reference materials. The book also offers downloadable computer programs from an associated website. Presented by world-class leaders in type-2 fuzzy logic control, Introduction to Type-2 Fuzzy Logic Control: Is useful for any technical person interested in learning type-2 fuzzy control theory and its applications Offers experiment and simulation results via downloadable computer programs Features type-2 fuzzy logic background chapters to make the book self-contained Provides an extensive literature survey on both fuzzy logic and related type-2 fuzzy control Introduction to Type-2 Fuzzy Logic Control is an easy-to-read reference book suitable for engineers, researchers, and graduate students who want to gain deep insight into type-2 fuzzy logic control.

Theory and Applications of Ordered Fuzzy Numbers

Theory and Applications of Ordered Fuzzy Numbers
Author: Piotr Prokopowicz
Publisher: Springer
Total Pages: 330
Release: 2017-10-18
Genre: Technology & Engineering
ISBN: 3319596144
GET BOOK

Download Theory and Applications of Ordered Fuzzy Numbers Book in PDF, ePub and Kindle

This book is open access under a CC BY 4.0 license. This open access book offers comprehensive coverage on Ordered Fuzzy Numbers, providing readers with both the basic information and the necessary expertise to use them in a variety of real-world applications. The respective chapters, written by leading researchers, discuss the main techniques and applications, together with the advantages and shortcomings of these tools in comparison to other fuzzy number representation models. Primarily intended for engineers and researchers in the field of fuzzy arithmetic, the book also offers a valuable source of basic information on fuzzy models and an easy-to-understand reference guide to their applications for advanced undergraduate students, operations researchers, modelers and managers alike.