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OverviewWe describe in this book, new methods for building intelligent systems using type-2 fuzzy logic and soft computing techniques. Soft Computing (SC) consists of several computing paradigms, including type-1 fuzzy logic, neural networks, and genetic algorithms, which can be used to create powerful hybrid intelligent systems. In this book, we are extending 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 te- nique offers. We consider in this book the use of type-2 fuzzy logic and traditional SC techniques to solve pattern recognition problems in real-world applications. We c- sider in particular the problems of face, fingerprint and voice recognition. We also consider the problem of recognizing a person by integrating the information given by the face, fingerprint and voice of the person. Other types of applications solved with type-2 fuzzy logic and SC techniques, include intelligent control, intelligent manuf- turing, and adaptive noise cancellation. This book is intended to be a major reference for scientists and engineers interested in applying type-2 fuzzy logic for solving problems in pattern recognition, intelligent control, intelligent manufacturing, robotics and automation. Full Product DetailsAuthor: Oscar Castillo , Patricia MelinPublisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K Edition: Softcover reprint of hardcover 1st ed. 2008 Volume: 223 Dimensions: Width: 15.50cm , Height: 1.30cm , Length: 23.50cm Weight: 0.454kg ISBN: 9783642095139ISBN 10: 3642095135 Pages: 246 Publication Date: 21 October 2010 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of Contents1 Introduction to Type-2 Fuzzy Logic.- 2 Type-1 Fuzzy Logic.- 3 Type-2 Fuzzy Logic.- 4 A Method for Type-2 Fuzzy Inference in Control Applications.- 5 Design of Intelligent Systems with Interval Type-2 Fuzzy Logic.- 6 Method for Response Integration in Modular Neural Networks with Type-2 Fuzzy Logic.- 7 Type-2 Fuzzy Logic for Improving Training Data and Response Integration in Modular Neural Networks for Image Recognition.- 8 Fuzzy Inference Systems Type-1 and Type-2 for Digital Images Edge Detection.- 9 Systematic Design of a Stable Type-2 Fuzzy Logic Controller.- 10 Experimental Study of Intelligent Controllers Under Uncertainty Using Type-1 and Type-2 Fuzzy Logic.- 11 Evolutionary Optimization of Interval Type-2 Membership Functions Using the Human Evolutionary Model.- 12 Design of Fuzzy Inference Systems with the Interval Type-2 Fuzzy Logic Toolbox.- 13 Intelligent Control of the Pendubot with Interval Type-2 Fuzzy Logic.- 14 Automated Quality Control in Sound Speakers Manufacturing Using a Hybrid Neuro-fuzzy-Fractal Approach.- 15 A New Approach for Plant Monitoring Using Type-2 Fuzzy Logic and Fractal Theory.- 16 Intelligent Control of Autonomous Robotic Systems Using Interval Type-2 Fuzzy Logic and Genetic Algorithms.- 17 Adaptive Noise Cancellation Using Type-2 Fuzzy Logic and Neural Networks.ReviewsFrom the reviews: This research monograph offers a broad coverage of the recent developments in ! type-2 fuzzy sets and fuzzy systems. ! The monograph is arranged into 17 concise and well-focused chapters covering a wealth of applications and methodologies of type-2 fuzzy sets. ! chapters brings some useful motivating notes and elaborates on the algorithms pertinent to the problem at hand. ! a timely compendium of applications of type-2 fuzzy systems and offers the reader a sound overview of design techniques supporting the construction of such architectures. (Witold Pedrycz, Zentralblatt MATH, Vol. 1171, 2009) "From the reviews: ""This research monograph offers a broad coverage of the recent developments in ! type-2 fuzzy sets and fuzzy systems. ! The monograph is arranged into 17 concise and well-focused chapters covering a wealth of applications and methodologies of type-2 fuzzy sets. ! chapters brings some useful motivating notes and elaborates on the algorithms pertinent to the problem at hand. ! a timely compendium of applications of type-2 fuzzy systems and offers the reader a sound overview of design techniques supporting the construction of such architectures."" (Witold Pedrycz, Zentralblatt MATH, Vol. 1171, 2009)" From the reviews: This research monograph offers a broad coverage of the recent developments in ! type-2 fuzzy sets and fuzzy systems. ! The monograph is arranged into 17 concise and well-focused chapters covering a wealth of applications and methodologies of type-2 fuzzy sets. ! chapters brings some useful motivating notes and elaborates on the algorithms pertinent to the problem at hand. ! a timely compendium of applications of type-2 fuzzy systems and offers the reader a sound overview of design techniques supporting the construction of such architectures. (Witold Pedrycz, Zentralblatt MATH, Vol. 1171, 2009) Author InformationTab Content 6Author Website:Countries AvailableAll regions |