Granular modeling with fuzzy comparators

We present an overview of an approach to solving various real-life tasks related to Computational Intelligence by means of modeling with information granules. The particular methods of building the model are based on networks of fuzzy comparators. We demonstrate that comparator networks are a powerful and versatile tool suitable for applications. The introduction of methodology is accompanied with brief presentation of its formal basis. We also list existing and prospective, practical applications of the described approach.