Document - Fudge: Fuzzy ontology building with consensuated fuzzy datatypes

2020

Journal article Open Access

Fudge: Fuzzy ontology building with consensuated fuzzy datatypes

Huitzil I., Bobillo F., Gomez-Romero J., Straccia U.

Semantic Web Artificial Intelligence Ontologies Clustering Logic Fuzzy Logic

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.

Source: Fuzzy sets and systems 401 (2020): 91–112. doi:10.1016/j.fss.2020.04.001

Publisher: North-Holland, Amsterdam , Paesi Bassi

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@article{oai:it.cnr:prodotti:422317,
	title = {Fudge: Fuzzy ontology building with consensuated fuzzy datatypes},
	author = {Huitzil I. and Bobillo F. and Gomez-Romero J. and Straccia U.},
	publisher = {North-Holland, Amsterdam , Paesi Bassi},
	doi = {10.1016/j.fss.2020.04.001},
	journal = {Fuzzy sets and systems},
	volume = {401},
	pages = {91–112},
	year = {2020}
}