Fuzzy COPRAS (Complex Proportional Assessment) is a multi-criteria decision-making (MCDM) method that integrates fuzzy logic to handle uncertainty and ambiguity in the evaluation process.
- ✍️ Flexible Input Data:
- Accepts varying input parameters, such as numbers of alternatives, criteria, experts, linguistic terms, and their names/values.
- 💾 Datasets:
- Includes a sample dataset to demonstrate the functionality and showcase how the FUZZY CORPAS method can be applied.
Contributions are welcome! If you have ideas for improvements, bug fixes, or new features, feel free to submit a pull request. Happy Decision Making!
This project is licensed under the MIT License - see the LICENSE file for details.