Fuzzy Gaussian Copula SDG
Version 1.0.0 (2,02 ko) par
S. Muhammad Hossein Mousavi
Fuzzy Gaussian Copula synthetic data generation
The provided MATLAB code integrates fuzzy logic into the processing of the Iris dataset by generating synthetic data through Gaussian copula and transforming both original and synthetic features into fuzzy membership scores using a Gaussian membership function. These scores are then used to train decision tree models separately on the original, synthetic, and combined datasets. Train-test splits ensure the models are evaluated on unseen data to test their generalizability. The code handles the entire workflow from data manipulation to final evaluation, presenting accuracies for models trained on different data sets. This approach is intended to leverage fuzzy logic for better management of uncertainty and noise in the data, potentially enhancing the robustness and performance of the classification models.
Citation pour cette source
S. Muhammad Hossein Mousavi (2024). Fuzzy Gaussian Copula SDG (https://www.mathworks.com/matlabcentral/fileexchange/168521-fuzzy-gaussian-copula-sdg), MATLAB Central File Exchange. Récupéré le .
Compatibilité avec les versions de MATLAB
Créé avec
R2024a
Compatible avec toutes les versions
Plateformes compatibles
Windows macOS LinuxTags
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Découvrir Live Editor
Créez des scripts avec du code, des résultats et du texte formaté dans un même document exécutable.
Version | Publié le | Notes de version | |
---|---|---|---|
1.0.0 |