Rough neural classifier system
Yasser Fouad Hassan, E. Tazaki, Shin Egawa, K Suyama · 2003
The methodology for using rough set theory for preference modeling in a decision problem is presented in which we will introduce a new method where a neural network system and rough set theory are completely integrated into a hybrid system and used cooperatively for decision and classification support. At the first glance, the two methods we talk about have not too much in common. But, in spite of the differences between these two methods, it is interesting to try to incorporate both into one combined system, and apply it in the building of a decision support system.