Type-2 Fuzzy Logic: Theory and Applications / Edition 1

Type-2 Fuzzy Logic: Theory and Applications / Edition 1

ISBN-10:
3642095135
ISBN-13:
9783642095139
Pub. Date:
12/15/2010
Publisher:
Springer Berlin Heidelberg
ISBN-10:
3642095135
ISBN-13:
9783642095139
Pub. Date:
12/15/2010
Publisher:
Springer Berlin Heidelberg
Type-2 Fuzzy Logic: Theory and Applications / Edition 1

Type-2 Fuzzy Logic: Theory and Applications / Edition 1

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Overview

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.


Product Details

ISBN-13: 9783642095139
Publisher: Springer Berlin Heidelberg
Publication date: 12/15/2010
Series: Studies in Fuzziness and Soft Computing , #223
Edition description: Softcover reprint of hardcover 1st ed. 2008
Pages: 244
Product dimensions: 6.10(w) x 9.25(h) x 0.36(d)

Table of Contents

Introduction to Type-2 Fuzzy Logic.- Type-1 Fuzzy Logic.- Type-2 Fuzzy Logic.- A Method for Type-2 Fuzzy Inference in Control Applications.- Design of Intelligent Systems with Interval Type-2 Fuzzy Logic.- Method for Response Integration in Modular Neural Networks with Type-2 Fuzzy Logic.- Type-2 Fuzzy Logic for Improving Training data and Response Integration in Modular Neural Networks for Image Recognition.- Fuzzy Inference Systems Type-1 and Type-2 for Digital Images Edge Detection.- Systematic Design of a Stable Type-2 Fuzzy Logic Controller.- Experimental Study of Intelligent Controllers under Uncertainty Using Type-1 and Type-2 Fuzzy Logic.- Evolutionary optimization of interval type-2 membership functions using the Human Evolutionary Model.- Design of Fuzzy Inference Systems with the Interval Type-2 Fuzzy Logic Toolbox.- Intelligent Control of the Pendubot with Interval Type-2 Fuzzy Logic.- Automated Quality Control in Sound Speakers Manufacturing using a Hybrid Neuro-Fuzzy-Fractal Approach.- A New Approach for Plant Monitoring using Type-2 Fuzzy Logic and Fractal Theory.- Intelligent Control of Autonomous Robotic Systems using Interval Type-2 Fuzzy Logic and Genetic Algorithms.- Adaptive Noise Cancellation Using Type-2 Fuzzy Logic and Neural Networks.

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