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Fudge: Fuzzy ontology building with consensuated fuzzy datatypes

Articolo
Data di Pubblicazione:
2020
Abstract:
An important problem in Fuzzy OWL 2 ontology building is the definition of fuzzy membership functions for real-valued fuzzy sets (so-called fuzzy datatypes in Fuzzy OWL 2 terminology). In this paper, we present a tool, called Fudge, whose aim is to support the consensual creation of fuzzy datatypes by aggregating the specifications given by a group of experts. Fudge is freeware and currently supports several linguistic aggregation strategies, including the convex combination, linguistic OWA, weighted mean and fuzzy OWA, and easily allows to build others in. We also propose and have implemented two novel linguistic aggregation operators, based on a left recursive form of the convex combination and of the linguistic OWA.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Ontologies; Fuzzy Logic; Clustering; Semantic Web
Elenco autori:
Straccia, Umberto
Autori di Ateneo:
STRACCIA UMBERTO
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/409942
Link al Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/409942/107058/prod_422317-doc_150131.pdf
Pubblicato in:
FUZZY SETS AND SYSTEMS
Journal
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URL

https://www.sciencedirect.com/science/article/pii/S0165011419301903?via%3Dihub
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