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A modern Java 21 implementation of a Takagi-Sugeno-Kang (TSK) Fuzzy Inference System optimized by a Genetic Algorithm.
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## 1. Project Overview
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This project provides a flexible and high-performance framework for solving complex regression and mapping problems using a genetically-optimized fuzzy inference system. It takes a classic neuro-fuzzy system and completely refactors it into a modular, testable, and extensible system using modern Java 21 features.

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