Representation and Evaluation of Granular Systems

We put forward a general framework for looking at the quality of granular systems. We discuss issues of representing and using granular methods in comparison with traditional approach. We focus on the demand for quality evaluation strategies that judge granular environments by their ability to reduce computational effort and simplify description, assuring required level of precision and relevance at the same time. We provide several examples to illustrate our approach.