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:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11566/83149
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact