Decision-making procedure based on fuzzy relational composition mayrequire that the involved connectives are not idempotent tohandle significant information properly. Yet, non-idempotence mayresult in meaningless inference when the universes of discourse aredense. Here we propose a novel kind of connective and a formaldefinition of relational composition for dense universes of discoursewhich allow the aggregation of different path of reasoning confirmingeach other without incurring in total loss of information

Quantized norms and generalized relational composition on dense universes / Riccardo, Rovatti; Fantuzzi, Cesare. - In: INTERNATIONAL JOURNAL OF APPROXIMATE REASONING. - ISSN 0888-613X. - STAMPA. - 19:(1998), pp. 299-314.

Quantized norms and generalized relational composition on dense universes

FANTUZZI, Cesare
1998

Abstract

Decision-making procedure based on fuzzy relational composition mayrequire that the involved connectives are not idempotent tohandle significant information properly. Yet, non-idempotence mayresult in meaningless inference when the universes of discourse aredense. Here we propose a novel kind of connective and a formaldefinition of relational composition for dense universes of discoursewhich allow the aggregation of different path of reasoning confirmingeach other without incurring in total loss of information
1998
19
299
314
Quantized norms and generalized relational composition on dense universes / Riccardo, Rovatti; Fantuzzi, Cesare. - In: INTERNATIONAL JOURNAL OF APPROXIMATE REASONING. - ISSN 0888-613X. - STAMPA. - 19:(1998), pp. 299-314.
Riccardo, Rovatti; Fantuzzi, Cesare
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

Licenza Creative Commons
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/451705
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact