Type-2 Fuzzy Logic: Theory and Applications

The book explores innovative methods for developing intelligent systems through type-2 fuzzy logic and soft computing techniques. It emphasizes the integration of type-2 fuzzy logic with traditional approaches like neural networks and genetic algorithms to enhance hybrid systems. Key applications discussed include real-world pattern recognition challenges such as face, fingerprint, and voice recognition, as well as intelligent control and manufacturing. Aimed at scientists and engineers, it serves as a comprehensive reference for applying these advanced techniques in various fields.