简介：这份报纸通过一个边界控制器为一个维的线性退化波浪方程被奉献给空可控制性问题的研究。首先，线性退化波浪方程的well-posedness被讨论。然后，一些退化波浪方程的空可控制性被建立，当控制对非退化的边界起作用时。与在控制在退化边界上扮演的情况中的已知的可控制性结果不同，在州的空格的任何起始的值在这种情况中是可控制的。另外，在可控制性时间的明确的表情被给。而且，可控制性上的一个反例为一些另外的退化波浪方程被给。

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简介：ＳＯＭＥＰＥＲＦＯＲＭＡＮＣＥＭＥＡＳＵＲＥＳＯＦＲＥＰＡＩＲＡＢＬＥＴＲＡＮＳＦＥＲＬＩＮＥＷＩＴＨＧＥＮＥＲＡＬＤＩＳＴＲＩＢＵＴＩＯＮＳＬＩＷｅｉ；ＣＡＯＪｉｎｈｕａ（ＩｎｓｔｉｔｕｔｅｏｆＡｐｐｌｉｅｄＭａｔｈｅｍａｔｉｃｓ，Ａｃａｄｅｍｉａ...

简介：LetamovingplaneMPoverafixedplaneFPoccupyfourdifferentpositions.Eachpairofsuchpositionsisassociatedwithacenterofrotationcalledpolesothatwehavea6-poleconfiguration.Asanillustrationofourgeneralmethodofmechanicaltheoremprovinganddiscovering,wediscussinthepresentpaperinsomederailscertaintheoremsconnectedwithsuchaconfiguration.

简介：ＳＯＭＥＮＥＷＣＯＮＳＴＲＵＣＴＩＯＮＳＯＦＣＡＲＴＥＳＩＡＮＡＵＴＨＥＮＴＩＣＡＴＩＯＮＣＯＤＥＳＦＲＯＭＳＹＭＰＬＥＣＴＩＣＧＥＯＭＥＴＲＹＹＯＵＨｏｎｇ；ＧＡＯＹｏｕ（ＮｏｒｔｈｅａｓｔＮｏｒｍａｌＵｎｉｖｅｒｓｉｔｙ，Ｃｈａｎｇｃｈｕｎ１３０...

简介：Wefirstproposeaseriesofsimilaritymeasuresforintuitionisticfuzzyvalues(IFVs)basedontheintuitionisticfuzzyoperators(Atanassov1995).Theparametersintheproposedsimilaritymeasurescancontrolthedegreeofmembershipandthedegreeofnon-membershipofanIFV,whichcanreflectthedecisionmaker’sriskpreference.Moreover,wecanobtainsomeknownsimilaritymeasureswhensomefixedvaluesareassignedtotheparameters.Furthermore,weapplythesimilaritymeasurestoaggregateIFVsanddevelopsomeaggregationoperators,suchastheintuitionisticfuzzydependentaveragingoperatorandtheintuitionisticfuzzydependentgeometricoperator,whoseprominentcharacteristicisthattheassociatedweightsonlydependontheaggregatedintuitionisticfuzzyargumentsandcanrelievetheinfluenceofunfairargumentsontheaggregatedresults.Basedontheseaggregationoperators,wedevelopsomegroupdecisionmakingmethods,andfinallyextendourresultstointerval-valuedintuitionisticfuzzyenvironment.

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简介：Thispaperproposesagroupdecisionmakingmethodbasedonentropyofneutrosophiclinguisticsetsandgeneralizedsinglevaluedneutrosophiclinguisticoperators.Thismethodisappliedtosolvethemultipleattributegroupdecisionmakingproblemsundersinglevaluedneutrosophicliguisticenvironment,inwhichtheattributeweightsarecompletelyunknown.First,theattributeweightsareobtainedbyusingtheentropyofneutrosophiclinguisticsets.Thenthreegeneralizedsinglevaluedneutrosophiclinguisticoperatorsareintroduced,includingthegeneralizedsinglevaluedneutrosophiclinguisticweightedaveraging(GSVNLWA)operator,thegeneralizedsinglevaluedneutrosophiclinguisticorderedweightedaveraging(GSVNLOWA)operatorandthegeneralizedsinglevaluedneutrosophiclinguistichybridaveraging(GSVNLHA)operator,andtheGSVNLWAandGSVNLHAoperatorsareusedtoaggregateinformation.Furthermore,similaritymeasurebasedonsinglevaluedneutrosophiclinguisticnumbersisdefinedandusedtosortthealternativesandobtainthebestalternative.Finally,anillustrativeexampleisgiventodemonstratethefeasibilityandeffectivenessofthedevelopedmethod.

简介：ConsiderasemiparametricregressionmodelwithlineartimeserieserrorsYk=x'kβ+g(tk)+εk,1≤k≤n,whereYk'sareresponses,xk=(xk1，xk2，…,xkp)'andtk∈T包含Rarefixeddesignpoints,β=(β1,β2,…,βp)'isanunknownparametervector,g(·)isanunknonwnboundedreal-valuedfunctiondefinedonacompactsubsetTofthereallineR,andεkisalinearprocessgivenbyεk=∑j=0^∞ψjek-j,ψ0=1,where∑j=0^∞|ψj|<∞,andej,j=0,±1,±2,…,arei.i.d.randomvariables.Inthispaperweestablishtheasymptoticnormalityoftheleastsquaresestimatorofβ,asmoothestimatorofg(·),andestimatorsoftheautocovarianceandautocorrelationfunctionsofthelinearprocessεk.