简介：Withrespecttothedecisionmakingproblemswherealotoffuzzyandgreyinformationalwaysexistsinthereal-lifedecisionmakinginformationsystem,itisdifficultforsuchuncertaintymethodsasfuzzymathematics,probability,andintervalnumberstodealwith.Tothisend,basedonthethoughtandmethodofgreynumbers,greydegreesandintervalnumbers,theconceptofdominancegreydegreeisdefined.Andthenamethodofrankingintervalgreynumbersbasedonthedominancegreydegreeisproposed.Afterdiscussingtherelevantproperties,thepaperfinallyusesanexampletodemonstratetheeffectivenessandapplicabilityofthemodel.Theresultshowsthattheproposedmodelcanmoreaccuratelydescribeuncertaintydecisionmakingproblems,andrealizethetotalorderingprocessformultiple-attributedecision-makingproblems.

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简介：Givenanon-equidistantsequenceoranequidistantserieswithoneormoreoutliers,agreyinterpolationapproachconsideringthetimelagsisestablishedforproducingthemissingdataorcorrectingtheabnormalvalues.Toaccomplishthis,anewgreyincidencemodel,calledthegreydynamicincidencemodelGDIM(t),isconstructedfordeterminingwhetherthefactorsareeffectivetotheknownfactorandwhatthetimelagisbetweenausefulfactorandthespecifiedsequence.BasedontheresultsoftheGDIM(t)model,twoprogrammingproblemsaredesignedtoobtaintheupperandlowerboundsoftheunknownorabnormalvalueswhichareregardedasgreynumbers.Thesolutionsbasedontheparticleswarmoptimization(PSO)forthenonlinearprogrammingproblemsaregiven.Toexplainhowitcanbeusedinpractice,thisnewgreyinterpolationapproachisappliedtocorrectanabnormalvalueinthesequenceofanagricultureenvironmentproblem.

简介：Greysequencegenerationcandrawoutanddevelopimpliedrulesoftheoriginaldata.Differentkindsofgenerationmethodsweresummarizedandclassifiedintotwotypes:partialgenerationandwholegeneration.Theaveragegenerationandstepwiseratiogenerationisdisussed,thepreferencegenerationisregardasaspecialcaseofproportionaldivisionbasedonanalysisgeometrictheory,proposeanideaofusingconcaveandconvexstatusofdiscretedatatodeterminethegenerationcoefficient.Basedonthestepwiseandsmoothratiogeneration,atendencyaveragegenerationisproposedandhaveacomparisonusingthedataprovidedinpaperslistedinthereferences.Thecomparisonprovesthatthenewgenerationisbetterthantheothertwogenerationsanderrorsareobviouslyreduced.

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简介：Bycombiningconventionalgreycorrelationanalysis,greyclusteringmethodandgreyforecastingmethodswithourmulti-goalforecastthoughtsandthetechniquesofgreytimeseriesprocessing,wedevelopsixdifferentgreyearthquakeforecastmodelsinthispaper,UsingtherecordofmajorearthquakesinJapanfrom1872to1995,weforecastfutureearthquakesinJapan.Wedevelopanearthquakeforecastmodel.ByusingthemajorearthquakesinJapanfrom1872to1984,weforecastearthquakesfrom1985to1995andchecktheprecisionofthegreyearthquakemodels.Wefindthatthegreysystemtheorycanbeappliedtoearthquakeforecast.Weintroducetheaboveanalysismethodsandgivearealexampletoevaluateandforecast.Wealsofurtherdiscusstheproblemsofhowtoimprovetheprecisionofearthquakeforecastandhowtostrengthentheforecastmodelsinfutureresearch.

简介：Inthispaper,thesystemandsubsystemforecastmodelsforfiringaccuracyhavebeenbuiltbymeansoftheoryofGreySystemForecast.Ithasprovidedascientificforecastingmethodformicro-errorcontrolandmacro-error-controlandimprovingthefiringaccuracy.

简介：Inlightofdiwatheory,thccarth’scrustcvolvcdinproccssofgcosynclinc-platform-diwaandspi-ra11ydcvc1opcd’Thcmincralsformcdindiwastagearcundoubtlymorccomp1icatcdtbanthoscformcdintbctwocarlicrstagcsandinan1orcadvanccdtypc.Bccauscofthcnonhomogcncityal1dthelimitationinthedisttibutionofmcta1logcnicsubstanccsi

简介：灰色是一种很低调的颜色。当你看到它时，你会联想起什么呢？是阴雨中沉沉的天幕，还是家中长辈沾染岁月的头发？

简介：Intheevaluationofsomesimulationsystems,onlysmallsamplesdataaregottenduetothelimitedconditions.Inallusiontotheevaluationproblemofsmallsampledata,anintervalestimationapproachwiththeimprovedgreyconfidencedegreeisproposed.Onthebasisofthedefinitionofgreydistance,threekindsofdefinitionofthegreyweightforeverysampleelementingreyestimatedvalueareputforward,andthentheimprovedgreyconfidencedegreeisdesigned.Inaccordancewiththenewconcept,thegreyintervalestimationforsmallsampledataisdeduced.Furthermore,thebootstrapmethodisappliedformoreaccurategreyconfidenceinterval.Throughresamplingofthebootstrap,numeroussmallsampleswiththecorrespondingconfidenceintervalscanbeobtained.Thenthefinalconfidenceintervaliscalculatedfromtheunionofthesegreyconfidenceintervals.Intheend,thesimulationsystemevaluationusingtheproposedmethodisconducted.Thesimulationresultsshowthatthereasonableconfidenceintervalisacquired,whichdemonstratesthefeasibilityandeffectivenessoftheproposedmethod.

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简介：Greyself-organizingmap(GSOM)modelisproposedandappliedinthedetectionofintrusion.ThroughtheimprovementoftheweightadjustmentusingtheGRC(greyrelationalcoefficient),thetrainingresultsofSOMgetbetter.Inthedetectionofdenyofservice(DOS)attacks,thismodelcanconsidertherelativityofthedatasetofDOSattacks.Finally,theexperimentsontheDOSdatasetconfirmtheirvaliditiesandfeasibilitiesoverthisGSOMmodel.

简介：RationalizationofIndustrialStructureisessentialcharacteristicofeconomicdevelopmentandkeytopromotesustained,stable,coordinatedeconomicdevelopmentaswell.BasedonGreyRelevancyDegree,thepaperistoanalyzeindustrystructureinWenzhou,China.Andgivetheevaluationforrationalizationofindustrialstructure.

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简介：TheLeadingindustryinfluencestheeconomicdevelopmentofonecity.Thispaperestablishesadecisionfactorsystemofchoosingleadingindustryofcities,appliesrelateddecisiontheoryinGreySystemandinventstheprocedureofchoosingleadingindustry,whichachievedagoodpracticaleffect.Afterwards,thecityTianmenacclaimsthedressindustryasLeadingIndustryinits"TheTenthFive-YearPlanforEconomicandSocialDevelopmentofCityTianMen".

简介：在基于竞争的卫星通讯系统，在数据包之间的碰撞可以由于随机包送发生。在每传播前的合适的延期能减少数据碰撞率。作为古典随机的多重存取协议，slotted阿罗哈(S阿罗哈)通过时间槽分配和同步措施减少数据碰撞率。为了改进卫星的稳定性和产量，联网，一个backoff算法将基于S阿罗哈是有效的。一个新适应backoff算法基于用灰系统的S阿罗哈被建议，它根据网络条件适应地计算backoff时间。并且网络条件被每个用户终端在灰系统用模型美国通用汽车公司(1,1)根据隧道存取成功比率的预言估计。建议算法与象二进制指数的backoff(BEB)和多重增加那样的另外的已知的计划相比多重减少(MIMD)backoff。建议算法的表演被模仿并且分析。系统的产量基于BEB和MIMDbackoff基于建议算法比系统好，这被显示出。并且也有与使用BEB相比的延期表演的一些改进。建议算法为在卫星网络的用户终端的大数字是特别有效的。