Add project README

Author: JoshuaKento

README.md

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+# rust-fuzzylogic
+
+A work-in-progress Rust crate that provides building blocks for authoring fuzzy inference systems.
+The project aims to make it easy to describe linguistic variables, membership functions, and rule
+bases while keeping room for experimentation with multiple aggregation operators and inference
+strategies.
+
+## Project status
+
+The repository currently focuses on laying down the module structure of the crate. Several source
+files exist as stubs and will be fleshed out in future iterations. Even though the public API is not
+ready for consumption yet, the layout already highlights the intended responsibilities of each
+module:
+
+- `membership`: utilities for defining membership functions (triangular, trapezoidal, gaussian, …).
+- `variable`: strongly-typed linguistic variables composed of terms and membership functions.
+- `term`: basic linguistic terms that bind membership functions to human-readable labels.
+- `rulespace`: abstractions for authoring rule bases and connecting antecedents to consequents.
+- `antecedent`: helpers to compose fuzzy predicates out of linguistic terms.
+- `aggregate`: algorithms to combine the contribution of multiple rules.
+- `defuzz`: defuzzification routines that convert fuzzy outputs into crisp values.
+- `mamdani`: reference implementation of a Mamdani-style inference engine.
+- `ops`: configurable T-norm/T-conorm operators (minimum, product, Łukasiewicz, …).
+- `sampler`: sampling utilities for visualisation or numerical integration tasks.
+- `builder`: high-level ergonomics for constructing complete systems.
+- `error`: error types returned by the crate.
+- `prelude`: convenient re-exports for end users.
+
+## Getting started
+
+Because the implementation is still under construction the crate is not published on crates.io.
+Once the API stabilises you will be able to add it as a Git dependency in your `Cargo.toml`:
+
+```toml
+[dependencies]
+rust-fuzzylogic = { git = "https://github.com/your-org/rust-fuzzylogic" }
+```
+
+After the crate reaches its first release the dependency line will become:
+
+```toml
+[dependencies]
+rust-fuzzylogic = "0.1"
+```
+
+## Development
+
+If you would like to contribute, clone the repository and open it with your favourite editor:
+
+```bash
+git clone https://github.com/your-org/rust-fuzzylogic.git
+cd rust-fuzzylogic
+```
+
+The crate targets Rust 1.76+ (edition 2024). Standard Cargo commands apply:
+
+- `cargo check` — make sure the crate compiles.
+- `cargo fmt` — format the codebase.
+- `cargo test` — run the test suite (currently empty).
+
+### Feature flags
+
+The crate is organised around a set of feature flags to enable or disable components at compile
+time:
+
+- `f32` / `f64` — choose the floating-point precision used throughout the inference engine.
+- `serde` — derive serialisation support for configuration data structures.
+- `parallel` — enable rayon-powered parallel execution for suitable workloads.
+- `ops-minmax`, `ops-product`, `ops-lukasiewicz` — opt into specific operator families.
+- `ops-dyn` — use dynamic dispatch for selecting operators at runtime.
+- `inference-mamdani` — compile the Mamdani inference engine implementation.
+
+## Examples
+
+Example binaries will live under the `examples/` directory. They are not yet implemented, but the
+plan is to showcase tasks such as temperature control, batch processing, fuzzy C-means clustering,
+and gradient-descent tuning of membership functions. You will be able to run them with Cargo once
+they are published:
+
+```bash
+cargo run --example temperature
+```
+
+## Roadmap
+
+- [ ] Flesh out membership functions and sampling utilities.
+- [ ] Implement the Mamdani inference pipeline end-to-end.
+- [ ] Document the builder APIs and provide a quick start guide.
+- [ ] Publish the crate and examples for real-world testing.
+
+---
+
+This README will evolve alongside the code. Contributions, bug reports, and ideas are warmly
+welcome!