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README.md

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# rust-fuzzylogic
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A work-in-progress Rust crate that provides building blocks for authoring fuzzy inference systems.
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A Rust crate that provides building blocks for authoring fuzzy inference systems.
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The project aims to make it easy to describe linguistic variables, membership functions, and rule
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bases while keeping room for experimentation with multiple aggregation operators and inference
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strategies.
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- `ops-dyn` — use dynamic dispatch for selecting operators at runtime.
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- `inference-mamdani` — compile the Mamdani inference engine implementation.
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## Examples
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Example binaries will live under the `examples/` directory. They are not yet implemented, but the
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plan is to showcase tasks such as temperature control, batch processing, fuzzy C-means clustering,
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and gradient-descent tuning of membership functions. You will be able to run them with Cargo once
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they are published:
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```bash
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cargo run --example temperature
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```
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## Roadmap
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- [ ] Flesh out membership functions and sampling utilities.
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- [ ] Implement the Mamdani inference pipeline end-to-end.
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- [ ] Make some example scripts under examles/, benches/.
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- [ ] Implement comprehensive tests.
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- [ ] Document the builder APIs and provide a quick start guide.
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- [ ] Publish the crate and examples for real-world testing.
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