- Inicio
- RESULTADOS DE INVESTIGACIÓN
- Listar RESULTADOS DE INVESTIGACIÓN por autor
Listar RESULTADOS DE INVESTIGACIÓN por autor "Mezei, Jozsef"
Mostrando ítems 1-2 de 2
-
Improving supervised learning classification methods using multi-granular linguistic modelling and fuzzy entropy
Morente-Molinera, Juan Antonio ; Mezei, Jozsef; Carlsson, Christer; Herrera-Viedma, Enrique (IEEE Transactions on Fuzzy Systems, 10/2017)Obtaining good classification results using supervised learning methods is critical if we want to obtain a high level of precision in the classification processes. The training data used for the learning process plays a ... -
Using multi-granular fuzzy linguistic modelling methods for supervised classification learning purposes
Morente-Molinera, Juan Antonio ; Mezei, Jozsef; Carlsson, Christer; Herrera-Viedma, Enrique (2017 IEEE International conference on fuzzy systems (FUZZ-IEEE), 2017)Classification learning is a very complex process whose success and failure ratio depends on a high amount of elements. One of them is the representation mean used for the data that is employed in the process. Granularity ...