A measure in the rough set theory to decision systems with continuo features
The Rough set theory provides several measures and techniques to data analysis, especially in the case of problems in which the decision feature has a discrete domain. In this paper a measure and methods are proposed which allow extending this theory to the case of problems in which the features ha...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Universidad de Antioquia
2012-11-01
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| Series: | Revista Facultad de Ingeniería Universidad de Antioquia |
| Subjects: | |
| Online Access: | https://revistas.udea.edu.co/index.php/ingenieria/article/view/13666 |
| _version_ | 1797861635529900032 |
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| author | Yaima Filiberto Rafael Bello Yailé Caballero Rafael Larrua |
| author_facet | Yaima Filiberto Rafael Bello Yailé Caballero Rafael Larrua |
| author_sort | Yaima Filiberto |
| collection | DOAJ |
| description |
The Rough set theory provides several measures and techniques to data analysis, especially in the case of problems in which the decision feature has a discrete domain. In this paper a measure and methods are proposed which allow extending this theory to the case of problems in which the features have a continuo domain, especially the decision feature. The experimental studies show their affectivity.
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| first_indexed | 2024-04-09T22:06:23Z |
| format | Article |
| id | doaj.art-a89ed510c6614e7693a61f7707aaeed8 |
| institution | Directory Open Access Journal |
| issn | 0120-6230 2422-2844 |
| language | English |
| last_indexed | 2024-04-09T22:06:23Z |
| publishDate | 2012-11-01 |
| publisher | Universidad de Antioquia |
| record_format | Article |
| series | Revista Facultad de Ingeniería Universidad de Antioquia |
| spelling | doaj.art-a89ed510c6614e7693a61f7707aaeed82023-03-23T12:37:03ZengUniversidad de AntioquiaRevista Facultad de Ingeniería Universidad de Antioquia0120-62302422-28442012-11-016010.17533/udea.redin.13666A measure in the rough set theory to decision systems with continuo featuresYaima Filiberto0Rafael Bello1Yailé Caballero2Rafael Larrua3University of CamagüeyCentral University of Las VillasUniversity of CamagüeyUniversity of Camagüey The Rough set theory provides several measures and techniques to data analysis, especially in the case of problems in which the decision feature has a discrete domain. In this paper a measure and methods are proposed which allow extending this theory to the case of problems in which the features have a continuo domain, especially the decision feature. The experimental studies show their affectivity. https://revistas.udea.edu.co/index.php/ingenieria/article/view/13666function approximationrough set theoryfeature selection |
| spellingShingle | Yaima Filiberto Rafael Bello Yailé Caballero Rafael Larrua A measure in the rough set theory to decision systems with continuo features Revista Facultad de Ingeniería Universidad de Antioquia function approximation rough set theory feature selection |
| title | A measure in the rough set theory to decision systems with continuo features |
| title_full | A measure in the rough set theory to decision systems with continuo features |
| title_fullStr | A measure in the rough set theory to decision systems with continuo features |
| title_full_unstemmed | A measure in the rough set theory to decision systems with continuo features |
| title_short | A measure in the rough set theory to decision systems with continuo features |
| title_sort | measure in the rough set theory to decision systems with continuo features |
| topic | function approximation rough set theory feature selection |
| url | https://revistas.udea.edu.co/index.php/ingenieria/article/view/13666 |
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