A First Course in Fuzzy Logic


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Introduction to Fuzzy Logic Using Matlab
4 August 2010

Introduction to Fuzzy Logic Using Matlab
Introduction to Fuzzy Logic Using Matlab
Springer 2006 | 430 | ISBN: 3540357807 | PDF | 27 Mb
Fuzzy Logic, at present is a hot topic, among academicians as well various programmers. This book is provided to give a broad, in-depth overview of the field of Fuzzy Logic. The basic principles of Fuzzy Logic are discussed in detail with various solved examples. The different approaches and solutions to the problems given in the book are well balanced and pertinent to the Fuzzy Logic research projects. The applications of Fuzzy Logic are also dealt to make the readers understand the concept of Fuzzy Logic. The solutions to the problems are programmed using MATLAB 6.0 and the simulated results are given. The MATLAB Fuzzy Logic toolbox is provided for easy reference. ...
Fuzzy Logic for Planning and Decision Making
28 July 2013

Fuzzy Logic for Planning and Decision Making

Fuzzy Logic for Planning and Decision Making
English | 208 pages | ISBN-10: 0792346815 | PDF | 19.1 MB

This book starts with the basic concepts of Fuzzy Logic: the membership function, the intersection and the union of fuzzy sets, fuzzy numbers, and the extension principle underlying the algorithmic operations.
Mathematics of Fuzzy Sets and Fuzzy Logic
28 April 2013


Mathematics of Fuzzy Sets and Fuzzy Logic

Mathematics of Fuzzy Sets and Fuzzy Logic
Barnabas Bede,
2013 | ISBN-10: 3642352200 | 338 pages | PDF | 3,5 MB
Advances in Fuzzy Implication Functions
20 October 2013

Advances in Fuzzy Implication Functions

Michal Baczynski, Gleb Beliakov, "Advances in Fuzzy Implication Functions"
2013 | ISBN-10: 3642356761 | 250 pages | PDF | 5,4 MB

Fuzzy implication functions are one of the main operations in fuzzy logic. They generalize the classical implication, which takes values in the set {0,1}, to fuzzy logic, where the truth values belong to the unit interval [0,1]. These functions are not only fundamental for fuzzy logic systems, fuzzy control, approximate reasoning and expert systems, but they also play a significant role in mathematical fuzzy logic, in fuzzy mathematical morphology and image processing, in defining fuzzy subsethood measures and in solving fuzzy relational equations.
Fuzzy Logic - Emerging Technologies and Applications
3 October 2013

Fuzzy Logic - Emerging Technologies and Applications
Fuzzy Logic - Emerging Technologies and Applications
InTeO | 2012 | ISBN: 9535103370 9789535103370 | 346 pages | PDF | 16 MB

This book is a major reference source for all those concerned with applied intelligent systems. The intended readers are researchers, engineers, medical practitioners, and graduate students interested in fuzzy logic systems.
Integration of Fuzzy Logic and Chaos Theory (Studies in Fuzziness and Soft Computing) [Hardcover]
6 December 2011

Integration of Fuzzy Logic and Chaos Theory (Studies in Fuzziness and Soft Computing) [Hardcover]

Integration of Fuzzy Logic and Chaos Theory (Studies in Fuzziness and Soft Computing) [Hardcover]

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 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 identification using genetic algorithms and neural network schemes, bifurcation phenomena and self-referencing in fuzzy systems, complex fuzzy systems and their collective behaviours, as well as some applications of combining fuzzy logic and chaotic dynamics, such as fuzzy-chaos hybrid controllers for nonlinear dynamic systems, and fuzzy-model-based chaotic cryptosystems. This book can serve as a handy reference for researchers working in the interdisciplines related, among others, to both fuzzy logic and chaos theory....
Fuzzy Logic and Neural Networks: Basic Concepts and Applications
6 June 2010

Fuzzy Logic and Neural Networks: Basic Concepts and Applications


Fuzzy Logic and Neural Networks: Basic Concepts and Applications


New Age Publications | 2008 | ISBN: 8122421822 | 276 pages | PDF | 13 MB



Fuzzy logic and neural networks have been discussed in detail through illustrative examples, methods and generic applications. Extensive and carefully selected references is an invaluable resource for further study of fuzzy logic and neural networks. Each chapter is followed by a question bank which is intended to help in the preparation for external examination.
Neural Cell Behavior and Fuzzy Logic: The Being of Neural Cells and Mathematics of Feeling
4 December 2010

Neural Cell Behavior and Fuzzy Logic: The Being of Neural Cells and Mathematics of Feeling

Neural Cell Behavior and Fuzzy Logic: The Being of Neural Cells and Mathematics of Feeling

2008 | 360 | ISBN: 038709542X | PDF | 4 Mb

This book covers at an advanced level the most fundamental ideas, concepts and methods in the field of applications of fuzzy logic to the study of neural cell behavior. Motivation and awareness are examined from a physiological and biochemical perspective illustrating fuzzy mechanisms of complex systems....
Fuzzy Logic for Embedded Systems Applications
14 September 2010

Fuzzy Logic for Embedded Systems Applications
Ahmad Ibrahim - Fuzzy Logic for Embedded Systems Applications
Newnes | 2003 | ISBN: 0750676051 | 312 pages | PDF | 3,7 MB

 

Statistisches Matching mit Fuzzy Logic
22 July 2010

Statistisches Matching mit Fuzzy Logic
Statistisches Matching mit Fuzzy Logic
Vieweg+Teubner 2009 | 250 | ISBN: 3834808369 | PDF | 1
Seit einigen Jahren wird statistisches Matching dazu eingesetzt, zusatzliche Informationen durch die Kombination mehrerer Datenquellen zu erhalten. Traditionelle Methoden ermitteln die so genannten statistischen Zwillinge auf Grundlage der Distanzen zwischen den Ausgangsdaten der Datensatze in den Matchingvariablen. ...