A Bayesian fuzzy approach to model spatial differences: the case of European rural regions

This paper reviews the mainstream approach to regional classification and suggests a different approach which explicitly recognize the importance of a priori information and of linguistic classification problems. Many techniques of classification rely on the concept of distance to cluster and categories the elements of a set. This paper introdues a more general approach to model regional differences based on the theory of fuzzy sets and on Bayesian inference.