مشروع البحث: Rough Sets and their Applications
| dc.contributor.advisor | د.خديجة علي الرويني | |
| dc.date.accessioned | 2024-12-12T11:08:07Z | |
| dc.date.available | 2024-12-12T11:08:07Z | |
| dc.description | Rough set theory has been introduced in 1982, as an extension of set theory, mainly in the domain of intelligent systems, and the objective was to deal with incomplete information, leading to the idea of indistinguishability of objects in a set. It is therefore related to the concept of approximation, and of granularity of information. This theory was applied successfully in several applications, e.g. information analysis, data analysis and data mining, knowledge discovery, so all those applications in which a need arises for intelligent decision support | |
| dc.description.abstract | Rough set theory has been introduced in 1982, as an extension of set theory, mainly in the domain of intelligent systems, and the objective was to deal with incomplete information, leading to the idea of indistinguishability of objects in a set. It is therefore related to the concept of approximation, and of granularity of information. This theory was applied successfully in several applications, e.g. information analysis, data analysis and data mining, knowledge discovery, so all those applications in which a need arises for intelligent decision support | |
| dc.identifier | 24256 | |
| dc.identifier.uri | https://dspace.academy.edu.ly/handle/123456789/869 | |
| dc.subject | Rough Sets and their Applications | |
| dc.title | Rough Sets and their Applications | |
| dspace.entity.type | Project | |
| project.endDate | 2023 | |
| project.funder.name | رياضيات | |
| project.investigator | أنتصار المبروك محمد | |
| project.startDate | 2022 | |
| relation.isOrgUnitOfProject | abd0d318-9280-4b6c-a480-6db4a3a7c674 | |
| relation.isOrgUnitOfProject.latestForDiscovery | abd0d318-9280-4b6c-a480-6db4a3a7c674 |