In this paper we sketch a method to design expert systems, probabilistic in nature, by the notions of Fuzzy Formal Context and Fuzzy Similarity. Two cases are considered “similar” if they satisfy the same observable properties. The expert system should give the probability that a new examined case satisfies a non observable property. We admit the presence of eventually vague properties and we need an adequate definition of probability of fuzzy events.

Fuzzy Formal Context, Similarity and Probabilistic Expert System

Pacelli T.
2006

Abstract

In this paper we sketch a method to design expert systems, probabilistic in nature, by the notions of Fuzzy Formal Context and Fuzzy Similarity. Two cases are considered “similar” if they satisfy the same observable properties. The expert system should give the probability that a new examined case satisfies a non observable property. We admit the presence of eventually vague properties and we need an adequate definition of probability of fuzzy events.
File in questo prodotto:
File Dimensione Formato  
Fuzzy Formal Context, Similarity and Probabilistic Expert Systems_Coppola,Gerla,Pacelli.pdf

solo utenti autorizzati

Descrizione: Articolo in atti di Convegno
Tipologia: Documento in Post-print
Licenza: Accesso privato/ristretto
Dimensione 174.62 kB
Formato Adobe PDF
174.62 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

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: http://hdl.handle.net/11588/742106
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact