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Neural Fuzzy Systems: A Neuro-Fuzzy Synergism to Intelligent Systems
"Neural Fuzzy Systems: A Neuro-Fuzzy Synergism to Intelligent Systems is a foundational framework and seminal textbook that integrates the learning capabilities of artificial neural networks with the human-like reasoning of fuzzy logic. This hybrid approach allows intelligent systems to extract knowledge from raw data while maintaining a transparent, rule-based structure that humans can easily interpret and validate. Since its formalization by authors Chin-Teng Lin and C. S. George Lee in the mid-1990s, the neuro-fuzzy paradigm has evolved into a critical component of modern soft computing. In 2026, as the demand for Explainable AI (XAI) reach..."
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