101165 20220405150417.0 doi 10.1016/j.fss.2020.04.001 sideral 118019 ART-2020-118019 eng Huitzil, I. Universidad de Zaragoza (orcid)0000-0002-7581-0345 Fudge: Fuzzy ontology building with consensuated fuzzy datatypes 2020 Access copy available to the general public Unrestricted 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. info:eu-repo/grantAgreement/ES/AEI-FEDER/TIN2016-78011-C4-3-R info:eu-repo/grantAgreement/ES/DGA-FEDER/Construyendo Europa desde Aragón info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 3.343 2020 COMPUTER SCIENCE, THEORY & METHODS 23 / 110 = 0.209 2020 Q1 T1 STATISTICS & PROBABILITY 20 / 125 = 0.16 2020 Q1 T1 MATHEMATICS, APPLIED 18 / 265 = 0.068 2020 Q1 T1 0.902 2020 Logic 2020 Q1 Artificial Intelligence 2020 Q1 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Bobillo, F. Universidad de Zaragoza (orcid)0000-0001-5136-4152 Gómez-Romero, J. Straccia, U. 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. 401 (2020), 91-112 Fuzzy sets syst. Fuzzy Sets and Systems 0165-0114 993294 http://zaguan.unizar.es/record/101165/files/texto_completo.pdf Postprint 1612948 http://zaguan.unizar.es/record/101165/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:101165 articulos driver 2022-04-05-14:37:44 ARTICLE