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Fudge: Fuzzy ontology building with consensuated fuzzy datatypes

Academic Article
Publication Date:
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.
Iris type:
01.01 Articolo in rivista
Keywords:
Ontologies; Fuzzy Logic; Clustering; Semantic Web
List of contributors:
Straccia, Umberto
Authors of the University:
STRACCIA UMBERTO
Handle:
https://iris.cnr.it/handle/20.500.14243/409942
Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/409942/107058/prod_422317-doc_150131.pdf
Published 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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