Expected Confidence Dependency: A Novel Rough Set-Based Approach to Feature Selection
Fuente:
arXiv
Guardado en:
| Autores principales: | , |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _version_ | 1866915651136782336 |
|---|---|
| author | Rasouli, Saeed Karamikabir, Hamid |
| author_facet | Rasouli, Saeed Karamikabir, Hamid |
| contents | This paper proposes Expected Confidence Dependency (ECD), a novel, soft computing-oriented, accuracy driven dependency measure for feature selection within the rough set theory framework. Unlike traditional rough set dependency measures that rely on binary characterizations of conditional blocks, ECD assigns confidence-based contributions to individual equivalence blocks and aggregates them through a normalized expectation operator. We formally establish several desirable properties of ECD, including normalization, compatibility with classical dependency, monotonicity, and invariance under structural and label-preserving transformations. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_03612 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Expected Confidence Dependency: A Novel Rough Set-Based Approach to Feature Selection Rasouli, Saeed Karamikabir, Hamid Information Theory This paper proposes Expected Confidence Dependency (ECD), a novel, soft computing-oriented, accuracy driven dependency measure for feature selection within the rough set theory framework. Unlike traditional rough set dependency measures that rely on binary characterizations of conditional blocks, ECD assigns confidence-based contributions to individual equivalence blocks and aggregates them through a normalized expectation operator. We formally establish several desirable properties of ECD, including normalization, compatibility with classical dependency, monotonicity, and invariance under structural and label-preserving transformations. |
| title | Expected Confidence Dependency: A Novel Rough Set-Based Approach to Feature Selection |
| topic | Information Theory |
| url | https://arxiv.org/abs/2512.03612 |