Fudge: Fuzzy ontology building with consensuated fuzzy datatypes

Huitzil, I. (Universidad de Zaragoza) ; Bobillo, F. (Universidad de Zaragoza) ; Gómez-Romero, J. ; Straccia, U.

Resumen: 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.

Idioma: Inglés

DOI: 10.1016/j.fss.2020.04.001

Año: 2020

Publicado en: Fuzzy Sets and Systems 401 (2020), 91-112
ISSN: 0165-0114

Factor impacto JCR: 3.343 (2020)

Categ. JCR: COMPUTER SCIENCE, THEORY & METHODS rank: 23 / 110 = 0.209 (2020) - Q1 - T1
Categ. JCR: STATISTICS & PROBABILITY rank: 20 / 125 = 0.16 (2020) - Q1 - T1
Categ. JCR: MATHEMATICS, APPLIED rank: 18 / 265 = 0.068 (2020) - Q1 - T1

Factor impacto SCIMAGO: 0.902 - Logic (Q1) - Artificial Intelligence (Q1)

Financiación: info:eu-repo/grantAgreement/ES/AEI-FEDER/TIN2016-78011-C4-3-R
Financiación: info:eu-repo/grantAgreement/ES/DGA-FEDER/Construyendo Europa desde Aragón

Tipo y forma: Article (PostPrint)

Área (Departamento): Área Lenguajes y Sistemas Inf. (Dpto. Informát.Ingenie.Sistms.)