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The book explores advanced methods for generating fuzzy rules from data, emphasizing their application in complex systems. It contrasts traditional human-expert-derived rules with data-driven approaches, highlighting the ability of the latter to uncover deeper insights. Techniques discussed include direct fuzzy inference, neural networks, and evolutionary algorithms. A key focus is on ensuring the interpretability of these data-generated rules, making them accessible and understandable for human users, thus facilitating knowledge extraction from unknown systems.
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Advanced Fuzzy Systems Design and Applications, Yaochu Jin
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- Pubblicato
- 2011
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