acetinkaya/python-fuzzy-logic

BULANIK MANTIK ve PYTHON UYGULAMALARI KİTAP

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Implements fuzzy logic control systems through membership functions, rule bases, and IF-THEN linguistic variables with detailed Python code examples across nine chapters covering theory to practical applications. Targets students in engineering, electronics, and business disciplines seeking to develop intelligent control systems using fuzzy set operations and inference mechanisms. Designed as an educational resource with inline code documentation and workflow diagrams, enabling readers to apply fuzzy logic to real-world device control problems across diverse academic fields.

No commits in the last 6 months.

Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 16 / 25
Community 10 / 25

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Stars

87

Forks

7

Language

Jupyter Notebook

License

MIT

Last pushed

Nov 24, 2024

Commits (30d)

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