Code
01D21913
Duration
01 October 2013 → 30 September 2017
Funding
Regional and community funding: Special Research Fund
Promotor
Fellow
Research disciplines
-
Natural sciences
- History and foundations
- Artificial intelligence
-
Social sciences
- Cognitive science and intelligent systems
Keywords
fuzziness and uncertainty models
data reduction
artificial intelligence
Project description
The goal of this project is to provide a systematic, theoretical study of the hybridization of fuzzy sets and rough sets, unifying existing proposals and developing new ones, with a view to enhance their suitability for data reduction purposes, as well as to investigate desirable properties that may be inherited from the contributing theories.