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dc.contributor.authorYang, Yingjieen
dc.contributor.authorLiu, Sifengen
dc.date.accessioned2018-07-03T12:32:16Z
dc.date.available2018-07-03T12:32:16Z
dc.date.issued2018-06
dc.identifier.citationYang, Y. and Liu, S. (2018) Grey Systems, Grey Models and Their Roles in Data Analytics. International Journal of SIMULATION: Systems, Science & Technology, 19(3), pp.8.1-8.6.en
dc.identifier.issn1473-8031
dc.identifier.urihttp://hdl.handle.net/2086/16313
dc.descriptionThe file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.en
dc.description.abstractThis paper gives an introduction to the basic concepts of grey systems, grey numbers and grey models, and discusses their roles in data analysis of data science. The necessity of small data models is demonstrated, and their complementary functions to Big Data models are investigated. Based on these investigations, a novel framework for combining Big Data models with grey models is proposed.en
dc.language.isoenen
dc.publisherUnited Kingdom Simulation Societyen
dc.subjectsmall dataen
dc.subjectgrey systemsen
dc.subjectgrey numbersen
dc.subjectgrey modelsen
dc.titleGrey Models and Their Roles in Data Analyticsen
dc.typeArticleen
dc.identifier.doihttps://doi.org/10.5013/IJSSST.a.19.03.08
dc.researchgroupCentre for Computational Intelligenceen
dc.peerreviewedYesen
dc.funderLeverhulme Trusten
dc.projectidIN-2014-020en
dc.cclicenceCC-BY-NCen
dc.date.acceptance2018-05-10en
dc.researchinstituteInstitute of Artificial Intelligence (IAI)en


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