Explanation of terms of grey clustering evaluation models

dc.cclicenceCC-BY-NCen
dc.contributor.authorYang, Yingjieen
dc.contributor.authorLiu, Sifengen
dc.date.acceptance2016-11-16en
dc.date.accessioned2018-01-24T11:11:43Z
dc.date.available2018-01-24T11:11:43Z
dc.date.issued2017
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 linken
dc.description.abstractPurpose – The purpose of this paper is to present the terms of grey clustering evaluation models. Design/methodology/approach –The definitions of basic terms about grey clustering evaluation models are presented one by one. Findings –The reader could know the basic explanation about the important terms about various grey clustering evaluation models from this paper. Practical implications –Many of our colleagues thought that unified definitions of key terms would be beneficial for both the readers and the authors . Originality/value – It’s a fundamental work to standardize all the definitions of terms for a new discipline. It’s also propitious to spread and universal of grey system theory.en
dc.funderLeverhulmeen
dc.identifier.citationLiu, S. and Yang, Y. (2017) Explanation of terms of grey clustering evaluation models. Grey Systems: Theory and Application, 7(1), pp.129-135.en
dc.identifier.doihttps://doi.org/10.1108/GS-11-2016-0046
dc.identifier.issn2043-9377
dc.identifier.urihttp://hdl.handle.net/2086/15095
dc.language.isoenen
dc.peerreviewedYesen
dc.projectidIN-2014-020en
dc.publisherEmeralden
dc.researchgroupCentre for Computational Intelligenceen
dc.researchinstituteInstitute of Artificial Intelligence (IAI)en
dc.subjectGrey clustering using degree of grey incidenceen
dc.subjectPossibility functionen
dc.subjectGrey clustering with variable weightsen
dc.subjectGrey clustering with fixed weightsen
dc.subjectEnd-point mixed possibility functions for grey clustering evaluationen
dc.subjectCenter-point mixed possibility functions for grey clustering evaluationen
dc.titleExplanation of terms of grey clustering evaluation modelsen
dc.typeArticleen

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