7 edition of **Integration of Fuzzy Logic and Chaos Theory (Studies in Fuzziness and Soft Computing)** found in the catalog.

- 71 Want to read
- 40 Currently reading

Published
**February 28, 2006**
by Springer
.

Written in English

- Applications of Computing,
- Differential Equations,
- Artificial Intelligence - General,
- Computers,
- Mathematics,
- Computer Books: General,
- Applied,
- Chaos Theory,
- Computers-Artificial Intelligence - General,
- Mathematics / Applied,
- Mathematics-Differential Equations,
- Chaotic behavior in systems,
- Fuzzy logic,
- Fuzzy logic.,
- gtt

**Edition Notes**

Contributions | Zhong Li (Editor), Wolfgang A. Halang (Editor), Guanrong Chen (Editor) |

The Physical Object | |
---|---|

Format | Hardcover |

Number of Pages | 625 |

ID Numbers | |

Open Library | OL9055709M |

ISBN 10 | 3540268995 |

ISBN 10 | 9783540268994 |

Fuzzy Logic with Engineering Applications by Timothy J Ross without a doubt. First few chapters are lengthy and theoretical but I think they set the right mindset to understand the subject in depth. What is more important than technicalities is. Chaos theory studies the concept and behavior of highly insensitive dynamical systems. It also studies behavior of dynamic systems in initial conditions, which often turns out to be super.

Part II: Applications of Fuzzy Set Theory 9 Fuzzy Logic and Approximate Reasoning Linguistic Variables Fuzzy Logic Classical Logics Revisited Linguistic Truth Tables Approximate and Plausible Reasoning Fuzzy Languages Support Logic Programming and Fril Introduction 9. Introduction and Trends to Fuzzy Logic and Fuzzy Databases: /ch This chapter presents an introduction to fuzzy logic and to fuzzy databases. With regard to the first topic, we have introduced the main concepts in thisCited by:

Download books "Mathematics - Fuzzy Logic and Applications". Ebook library | B–OK. List of books in category "Fuzzy Logic and Applications" 1. Fuzzy Sets and Fuzzy Logic: Theory and Applications. Integration of Fuzzy Logic and Chaos Theory. Springer. Zhong Li, Guanrong Chen. Year: Language: english. File: PDF, MB. Soft Computing is dedicated to system solutions based on soft computing techniques. It provides rapid dissemination of important results in soft computing technologies, a fusion of research in evolutionary algorithms and genetic programming, neural science and neural net systems, fuzzy set theory and fuzzy systems, and chaos theory and chaotic systems.

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More specifically, this book includes a collection of some state-of-theart surveys, tutorials, and application examples written by some experts working in the interdisciplinary fields overlapping fuzzy logic and chaos theory.

The content of the book covers fuzzy definition of chaos, fuzzy modeling and control of chaotic systems using both Mamdani and Takagi-Sugeno models, fuzzy model Brand: Zhong Li. More specifically, this book includes a collection of some state-of-theart surveys, tutorials, and application examples written by some experts working in the interdisciplinary fields overlapping fuzzy logic and chaos theory.

The content of the book covers fuzzy definition of chaos, fuzzy modeling and control of chaotic systems using both Mamdani and Takagi-Sugeno models, fuzzy model.

Finding the intrinsic relation between fuzzy logic and chaos theory is certainlyofsigni?t20years have indeed witnessed some serious explorations of the interactions between fuzzylogicandchaostheory,leadingtosuchresearchtopicsasfuzzymodeling of chaotic systems using Takagi–Sugeno models, linguistic descriptions of chaotic systems, fuzzy control of chaos, and a combination of fuzzy control technology and chaos theory Price: $ This book attempts to present some current research progress and results on the interplay of fuzzy logic and chaos theory.

More specifically, this book includes a collection of some state-of-theart surveys, tutorials, and application examples written by some experts working in the interdisciplinary fields overlapping fuzzy logic and chaos theory.

Integration of Fuzzy Logic and Chaos Theory by Zhong Li,available at Book Depository with free delivery worldwide/5(2). More specifically, this book includes a collections ofsome state-of-the-art surveys, tutorials, and application examples written by some experts working in the interdisciplinary fields overlapping fuzzy logic and chaos theory.

The content of the book covers fuzzy definition of chaos, fuzzy modeling and control of chaotic systems using both Mamdani and Takagi-Sugeno models, fuzzy model. More specifically, this book includes a collections of some state-of-the-art surveys, tutorials, and application examples written by some experts working in the interdisciplinary fields overlapping fuzzy logic and chaos theory.

The content of the book covers fuzzy definition of chaos, fuzzy modeling and control of chaotic systems using both Mamdani and Takagi-Sugeno models, fuzzy model.

Finding the intrinsic relation between fuzzy logic and chaos theory is certainlyofsigni?t20years have indeed witnessed some serious explorations of the interactions between fuzzylogicandchaostheory,leadingtosuchresearchtopicsasfuzzymodeling of chaotic systems using Takagi-Sugeno models, linguistic descriptions of chaotic systems, fuzzy control of chaos, and a combination of fuzzy control technology and chaos theory.

Chaos, on the other hand, was considered one of the three monumental discoveries of the twentieth century together with the theory of relativity and quantum mechanics. A deep seated reason to study the interactions between fuzzy logic and chaos theory is that they are related at least within the context of human reasoning and information.

However, the book also explores the integration of fuzzy sets with other decision support and modeling disciplines, such as multicriteria decision aid, neural networks, genetic algorithms, machine learning, chaos theory, etc.

The presentation of the advances in these fields and their real world applications adds a new perspective to the broad.

Includes a collection of surveys, tutorials, and application examples, written by experts working in the interdisciplinary fields, overlapping fuzzy logic and chaos theory. This book covers fuzzy definition of chaos; fuzzy modelling and control of chaotic systems, using both Mamdani and Takagi-Sugeno models; fuzzy model identification, and more.

Fuzzy Logic Classical Logic Dualist Pair Numerical Truth Chaos Theory. These keywords were added by machine and not by the authors.

This process is experimental and the keywords may be updated as the learning algorithm improves. This is an adaptation of “Self-Reference and Cited by: 1. Finding the intrinsic relation between fuzzy logic and chaos theory is certainlyofsigni?t20years have indeed witnessed some serious explorations of the interactions between fuzzylogicandchaostheory, leadingtosuchresearchtopicsasfuzzymodeling of chaotic systems using Takagi-Sugeno models.

The book presents the basic rudiments of fuzzy set theory and fuzzy logic and their applications in a simple and easy to understand manner. It is written with a general type of reader in : Chander Mohan. This paper presents a method of time series forecasting based on the integration of fuzzy logic and chaos theory.

The proposed method has two stages. On the first stage, we consider the time series as a dynamic system and using the methods of mutual information and false nearest neighbors, as a part of applied chaos theory, we reconstruct the Author: RotshteinAlexander, PustylnikLudmila, GiatYahel.

This paper presents a method of time series forecasting based on the integration of fuzzy logic and chaos theory. The proposed method has two stages. On the first stage, we consider the time series as a dynamic system and using the methods of mutual information and false nearest neighbors, as a part of applied chaos theory, we reconstruct the Cited by: 2.

The integration of fuzzy logic and chaos theory is a conve- nient methodology of the system’ s reliability dynamics obser- vation in the space of parameters connected with a failure.

Stanford Libraries' official online search tool for books, media, journals, databases, government documents and more. Integration of fuzzy logic and chaos theory [electronic resource] in SearchWorks catalog.

There is a lack of a single book that presents a comprehensive and self-contained theory of fuzzy logic and its applications. Written by world renowned authors, Lofti Zadeh, also known as the Father of Fuzzy Logic, and Rafik Aliev, who are pioneers in fuzzy logic and fuzzy sets, this unique compendium includes all the principal facets of fuzzy.

This book reviews the burgeoning industrial applications of fuzzy theory. The contributors are mostly industrial engineers or research experts in the field. The areas covered include automobiles, home appliances, voice recognition, medical techniques, fuzzy design, process control, space operations and mobile autonomous robots.

fuzzy set theory and fuzzy systems, and chaos theory and chaotic systems. Soft Computing encourages the integration of soft computing techniques and tools into both everyday and advanced applications. By linking the ideas and techniques of soft computing with other disciplines, the journal serves as a unifying platform that fosters comparisons.2 Fuzzy Set Theory 3 Fuzzy Relations 4 Fuzzy Reasoning 5 Fuzzy Logic Control Chapter 1 is a brief two page intro to the concept.

The chapter on Fuzzy Set Theory gets into the basics. I've read the descriptions of Fuzzy Logic in MathLab's Fuzzy Logic module Cited by: including fuzzy logic and fuzzy control, neural networks based computing and machine learning, and genetic algorithms, together with chaos theory in mathematics.

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