000106722 001__ 106722
000106722 005__ 20230914083249.0
000106722 0247_ $$2doi$$a10.1109/FUZZ48607.2020.9177732
000106722 0248_ $$2sideral$$a120262
000106722 037__ $$aART-2020-120262
000106722 041__ $$aeng
000106722 100__ $$0(orcid)0000-0002-7581-0345$$aHuitzil, I.$$uUniversidad de Zaragoza
000106722 245__ $$aI can get some satisfaction: Fuzzy ontologies for partial agreements in blockchain smart contracts
000106722 260__ $$c2020
000106722 5060_ $$aAccess copy available to the general public$$fUnrestricted
000106722 5203_ $$aThis paper proposes a novel extension of blockchain systems with fuzzy ontologies. The main advantage is to let the users have flexible restrictions, represented using fuzzy sets, and to develop smart contracts where there is a partial agreement among the involved parts. We propose a general architecture based on four fuzzy ontologies and a process to develop and run the smart contracts, based on a reduction to a well-known fuzzy ontology reasoning task (Best Satisfiability Degree). We also investigate different operators to compute Pareto-optimal solutions and implement our approach in the Ethereum blockchain.
000106722 536__ $$9info:eu-repo/grantAgreement/ES/DGA/FEDER$$9info:eu-repo/grantAgreement/ES/MINECO/TIN2016-78011-C4-3-R$$9info:eu-repo/grantAgreement/ES/UZ-SANTANDER/Ayudas Movilidad Latinoamericanos-2017-2018
000106722 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000106722 592__ $$a0.28$$b2020
000106722 593__ $$aApplied Mathematics$$c2020
000106722 593__ $$aSoftware$$c2020
000106722 593__ $$aArtificial Intelligence$$c2020
000106722 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000106722 700__ $$aFuentemilla, A.
000106722 700__ $$0(orcid)0000-0001-5136-4152$$aBobillo, F.$$uUniversidad de Zaragoza
000106722 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf.
000106722 773__ $$g2020, 6 (2020), [8 pp]$$pProc. IEEE Int. Conf. Fuzzy Syst.$$tProceedings of ... IEEE International Conference on Fuzzy Systems$$x1098-7584
000106722 8564_ $$s1236191$$uhttps://zaguan.unizar.es/record/106722/files/texto_completo.pdf$$yPostprint
000106722 8564_ $$s3126407$$uhttps://zaguan.unizar.es/record/106722/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000106722 909CO $$ooai:zaguan.unizar.es:106722$$particulos$$pdriver
000106722 951__ $$a2023-09-13-10:50:53
000106722 980__ $$aARTICLE