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Rough-fuzzy Classifier Modeling Using Data Repository Sets
2014
Procedia Computer Science
This paper reflects the trends of the past years based on the diffusion of various traditional approaches and methods when tackling new problems. Two components of the computational intelligence (CI) are applied, rough and fuzzy sets theory. These components permit one to operate with uncertainty data. The current knowledge in the investigated field is summarized and briefly explained. It also deals with uncertainty in an information system and the two approaches, the fuzzy sets (FSs) and rough
doi:10.1016/j.procs.2014.08.152
fatcat:ysa4w5fg7jayjefn3fjaiwhkwm