Type-2 Fuzzy Logic: Theory and Applications (Studies in Fuzziness and Soft Computing)
Springer| Pages: 244 | 2008-02-25 | ISBN: 3540762833 | 7 MB
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.
Random Posts- The Chasm Companion: A Fieldbook to Crossing the Chasm and Inside the Tornado
- Epidemiological Studies: A Practical Guide, 2nd edition
- Quantum Transport Theory (Frontiers in Physics, V. 99)
- The Cambridge Companion to Hannah Arendt
- Epidemiology and Biostatistics Secrets
- by Johan Bieleman”Additives for Coatings “
