Networks of Compound Object Comparators

We discuss the theoretical background and some practical implementations of multilayered networks of units, which compare compound objects for the purposes of their identification, matching and parsing. We show how our approach arises from the previous research on fuzzy comparators. We also show in what sense the flow of information in the considered networks follows the principles of rough mereology. Finally, we present some case studies of utilization of networks of comparators in the image and text processing.