GrunCrow/Turbines_Fuzzy_System

Turbines Fuzzy Logic Inference System

Inference System with Fuzzy Logic for the prediction of how good the placement of a turbine would be given the input parameters of the desired location
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Table of Contents

1. About The Project
   • Built With
2. Getting Started
   • Prerequisites
   • Installation
3. Usage
4. Roadmap
5. Contributing
6. License
7. Contact
8. Acknowledgments

About The Fuzzy Inference System

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Built With

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Getting Started

To get a local copy up and running follow these simple example steps.

Prerequisites

• numpy

  pip install numpy

• matplotlib

  pip install matplotlib

• skfuzzy

  pip install scikit-fuzzy

Installation

1. Clone the repo

   git clone https://github.com/GrunCrow/Turbines_Fuzzy_System.git

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Usage

For more examples, please refer to the Documentation

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Roadmap

• Create English Version -> v1.5
  • Add Change Language (Spanish-English) Button
• Add Measure Units to the GUI -> v1.8
  • Add New possible Measure Units for the user to introduce Input values
• Calculate the output with reduced inputs (The other inputs are calculated from those, from salinity we can calculate density)
• Add Color Map Selection for Selected Inputs

See the open issues for a full list of proposed features (and known issues).

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Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

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License

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Contact

GrunCrow - @gruncrow

Project Link: https://github.com/GrunCrow/Turbines_Fuzzy_System

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Acknowledgments

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