Ignacio Huitzil, Fernando Bobillo,
Juan Gomez-Romero, Umberto Straccia.
Fudge: Fuzzy Ontology Building
with Consensuated Fuzzy Datatypes.
In Fuzzy Sets and Systems, 401, pages 91-112, Elsevier, 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 open-source 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 right
recursive form of the convex combination and of the linguistic
OWA.