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dc.contributor.authorSoto Hidalgo, José Manuel
dc.contributor.authorAlonso Moral, José María
dc.contributor.authorAcampora, Giovanni
dc.contributor.authorAlcalá Fernández, Jesús
dc.date.accessioned2018-11-15T08:32:35Z
dc.date.available2018-11-15T08:32:35Z
dc.date.issued2018
dc.identifier.citationSoto-Hidalgo, J., Alonso, J., Acampora, G., & Alcala-Fdez, J. (2018). JFML: A Java Library to Design Fuzzy Logic Systems According to the IEEE Std 1855-2016. IEEE Access, 1-1. doi: 10.1109/access.2018.2872777
dc.identifier.urihttp://hdl.handle.net/10347/17724
dc.description.abstractFuzzy logic systems are useful for solving problems in many application fields. However, these systems are usually stored in specific formats and researchers need to rewrite them to use in new problems. Recently, the IEEE Computational Intelligence Society has sponsored the publication of the IEEE Standard 1855-2016 to provide a unified and well-defined representation of fuzzy systems for problems of classification, regression, and control. The main aim of this standard is to facilitate the exchange of fuzzy systems across different programming systems in order to avoid the need to rewrite available pieces of code or to develop new software tools to replicate functionalities that are already provided by other software. In order to make the standard operative and useful for the research community, this paper presents JFML, an open source Java library that offers a complete implementation of the new IEEE standard and capability to import/export fuzzy systems in accordance with other standards and software. Moreover, the new library has associated a Website with complementary material, documentation, and examples in order to facilitate its use. In this paper, we present three case studies that illustrate the potential of JFML and the advantages of exchanging fuzzy systems among available software
dc.description.sponsorshipThis work was supported in part by the XXII Own Research Program (2017) of the University of Córdoba, in part by the Spanish Ministry of Economy and Competitiveness under Grants RYC-2016-19802 (Ramón y Cajal contract), TIN2017-84796-C2-1-R, TIN2014-56633-C3-3-R, TIN2014-57251-P, and TIN2015-68454-R, in part by the Andalusian Government under Grant P11-TIC-7765, in part by the Xunta de Galicia (accreditation 2016–2019), and in part by the European Union (European Regional Development Fund)
dc.language.isoeng
dc.publisherIEEE
dc.rights© 2018 IEEE. Translations and content mining are permitted for academic research only. Personal use is also permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information
dc.subjectFuzzy logic
dc.subjectFuzzy logic systems
dc.subjectIEEE Standards
dc.subjectIEEE std 1855-2016
dc.subjectLibraries
dc.subjectFuzzy systems
dc.subjectFuzzy markup language
dc.subjectSoftware
dc.subjectOpen source software
dc.subjectJava
dc.subjectIEC61131-7
dc.titleJFML: A Java Library to Design Fuzzy Logic Systems According to the IEEE Std 1855-2016
dc.typeinfo:eu-repo/semantics/article
dc.identifier.DOI0.1109/ACCESS.2018.2872777
dc.relation.publisherversionhttps://doi.org/10.1109/ACCESS.2018.2872777
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.identifier.e-issn2169-3536
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.contributor.affiliationUniversidade de Santiago de Compostela. Centro de Investigación en Tecnoloxías da Información
dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Electrónica e Computación
dc.description.peerreviewedSI


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