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.
A Bayesian fuzzy approach to model spatial differences: the case of European rural regions
ZANOLI, RAFFAELE;GAMBELLI, Danilo
1995-01-01
Abstract
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.File in questo prodotto:
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