Type-2 fuzzy logic : theory and applications

This book describes 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 int...

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Bibliographische Detailangaben
Hauptverfasser: Castillo, Oscar, Melin, Patricia (VerfasserIn)
Format: Livre numérique
Sprache:Anglais
Veröffentlicht: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Ausgabe:1st ed. 2008.
Schriftenreihe:Studies in Fuzziness and Soft Computing 223
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Anmerkung: Archives Springer e-books (Licence nationale)
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Edition sous un autre format:• Type-2 Fuzzy Logic: Theory and Applications, Texte imprimé, 9783642095139
• Type-2 Fuzzy Logic: Theory and Applications, Texte imprimé, 9783540845461
• Type-2 Fuzzy Logic: Theory and Applications, Texte imprimé, 9783540762836
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245 1 0 |a Type-2 fuzzy logic :  |b theory and applications   |c by Oscar Castillo, Patricia Melin. 
250 |a 1st ed. 2008. 
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490 0 |a Studies in Fuzziness and Soft Computing  |v 223  |x 1860-0808 
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500 |a Archives Springer e-books (Licence nationale) 
505 1 |a 1 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. 
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506 |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 
520 |a This book describes 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. The authors extends 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. We consider in this book the use of type-2 fuzzy logic and traditional SC techniques to solve pattern recognition problems in realworld applications. 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. This book can also be used as a textbook or major reference for graduate courses like the following: soft computing, intelligent pattern recognition, computer vision, applied artificial intelligence, and similar ones. 
700 1 |a Melin, Patricia.  |4 aut 
700 1 |a Melin, Patricia.  |4 aut 
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