The original rough-set model is primarily concerned with the approximations of sets described by a single equivalence relation on a given universe. With granular computing point of...
Most information about the external world comes from our visual brain. However, it is not clear how this information is processed. We will analyze brain responses using machine lea...
Generalization of the fundamental rough set discernibility tools aiming at searching for relevant patterns for complex decisions is discussed. As an example of application, there i...
Jan G. Bazan, Andrzej Skowron, Dominik Slezak, Jak...
In this paper we introduce the concept of valued tolerance as an extension of the usual concept of indiscernibility (which is a crisp equivalence relation) in rough sets theory. So...
The optimization of rough set based classification models with respect to parameterized balance between a model's complexity and confidence is discussed. For this purpose, the...