000101165 001__ 101165 000101165 005__ 20220405150417.0 000101165 0247_ $$2doi$$a10.1016/j.fss.2020.04.001 000101165 0248_ $$2sideral$$a118019 000101165 037__ $$aART-2020-118019 000101165 041__ $$aeng 000101165 100__ $$0(orcid)0000-0002-7581-0345$$aHuitzil, I.$$uUniversidad de Zaragoza 000101165 245__ $$aFudge: Fuzzy ontology building with consensuated fuzzy datatypes 000101165 260__ $$c2020 000101165 5060_ $$aAccess copy available to the general public$$fUnrestricted 000101165 5203_ $$aAn 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. 000101165 536__ $$9info:eu-repo/grantAgreement/ES/AEI-FEDER/TIN2016-78011-C4-3-R$$9info:eu-repo/grantAgreement/ES/DGA-FEDER/Construyendo Europa desde Aragón 000101165 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/ 000101165 590__ $$a3.343$$b2020 000101165 591__ $$aCOMPUTER SCIENCE, THEORY & METHODS$$b23 / 110 = 0.209$$c2020$$dQ1$$eT1 000101165 591__ $$aSTATISTICS & PROBABILITY$$b20 / 125 = 0.16$$c2020$$dQ1$$eT1 000101165 591__ $$aMATHEMATICS, APPLIED$$b18 / 265 = 0.068$$c2020$$dQ1$$eT1 000101165 592__ $$a0.902$$b2020 000101165 593__ $$aLogic$$c2020$$dQ1 000101165 593__ $$aArtificial Intelligence$$c2020$$dQ1 000101165 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion 000101165 700__ $$0(orcid)0000-0001-5136-4152$$aBobillo, F.$$uUniversidad de Zaragoza 000101165 700__ $$aGómez-Romero, J. 000101165 700__ $$aStraccia, U. 000101165 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf. 000101165 773__ $$g401 (2020), 91-112$$pFuzzy sets syst.$$tFuzzy Sets and Systems$$x0165-0114 000101165 8564_ $$s993294$$uhttps://zaguan.unizar.es/record/101165/files/texto_completo.pdf$$yPostprint 000101165 8564_ $$s1612948$$uhttps://zaguan.unizar.es/record/101165/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint 000101165 909CO $$ooai:zaguan.unizar.es:101165$$particulos$$pdriver 000101165 951__ $$a2022-04-05-14:37:44 000101165 980__ $$aARTICLE