Type-2 Fuzzy Logic: Theory and Applications
| Autores principales: | , | 
|---|---|
| Autor Corporativo: | |
| Formato: | eBook | 
| Lenguaje: | English | 
| Publicado: | Berlin, Heidelberg :
        Springer Berlin Heidelberg : Imprint: Springer,
    
      2008. | 
| Edición: | 1st ed. 2008. | 
| Colección: | Studies in Fuzziness and Soft Computing,
              223 | 
| Materias: | |
| Acceso en línea: | https://doi.org/10.1007/978-3-540-76284-3 | 
                Tabla de Contenidos: 
            
                  - 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.