Grey interpolation approach for small time-lag samples based on grey dynamic relation analysis

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摘要 Givenanon-equidistantsequenceoranequidistantserieswithoneormoreoutliers,agreyinterpolationapproachconsideringthetimelagsisestablishedforproducingthemissingdataorcorrectingtheabnormalvalues.Toaccomplishthis,anewgreyincidencemodel,calledthegreydynamicincidencemodelGDIM(t),isconstructedfordeterminingwhetherthefactorsareeffectivetotheknownfactorandwhatthetimelagisbetweenausefulfactorandthespecifiedsequence.BasedontheresultsoftheGDIM(t)model,twoprogrammingproblemsaredesignedtoobtaintheupperandlowerboundsoftheunknownorabnormalvalueswhichareregardedasgreynumbers.Thesolutionsbasedontheparticleswarmoptimization(PSO)forthenonlinearprogrammingproblemsaregiven.Toexplainhowitcanbeusedinpractice,thisnewgreyinterpolationapproachisappliedtocorrectanabnormalvalueinthesequenceofanagricultureenvironmentproblem.
机构地区 不详
出版日期 2018年01月11日(中国期刊网平台首次上网日期,不代表论文的发表时间)
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