Breast cancer is one of the leading causes of death among women. Mammography remains today the best technology to detect breast cancer, early and efficiently, to distinguish between benign and malignant diseases. Several techniques in image processing and analysis have been developed to address this problem. In this paper, we propose a new solution to the problem of computer aided detection and...

The functional reasoning or Sugeno's fuzzy reasoning method is a very promising approach to the problem of non-linear, multi-variable, real valued function approximation, and the design of a fuzzy model and fuzzy controller. The proposed architecture, ASAFES2, is a function approximator which is, as far as we know, the first algorithm in the literature up to now that combines this particular re...

In this paper we extend the problem of classification using Fuzzy Association Rule Mining and propose the concept of Fuzzy Weighted Associative Classifier (FWAC). Classification based on Association rules is considered to be effective and advantageous in many cases. Associative classifiers are especially fit to applications where the model may assist the domain experts in their decisions. Weigh...

The paper substantiates the possibility of applying mathematical theory continuous problems optimal partitioning sets n-dimensional Euclidean space, which belong to non-classical infinite-dimensional programming, solution artificial intelligence and pattern recognition. recognition both in conditions certainty uncertainty are formulated. A particular attention is paid application methods for co...

INTRODUCTION "Change-glasses" approach in pattern recognition [1] relies on the assumption that there are subspaces of the initial feature space where the chosen classification rule can be replaced by another, more competent, one (see, e.g. [2]). This will hopefully lead to a better classification accuracy in comparison with that obtained through one rule only. This classification strategy bear...