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...
This paper introduces a neural network architecture based on rough sets and rough membership functions. The neurons of such networks instantiate approximate reasoning in assessing ...
James F. Peters, Andrzej Skowron, Liting Han, Shee...
Feature selection is used to improve performance of learning algorithms by finding a minimal subset of relevant features. Since the process of feature selection is computationally ...
Mark Last, Abraham Kandel, Oded Maimon, Eugene Ebe...
The main task in decision tree construction algorithms is to find the "best partition" of the set of objects. In this paper, we investigate the problem of optimal binary ...
: This paper presents a Lab. implementation of a computer vision using fuzzy models for pattern recognition for the detection of boundaries in images obtained through a camera inst...
Adriano Breunig, Haroldo R. de Azevedo, Edilberto ...