简介：Thispaperproposesanewneuralfuzzyinferencesystemthatmainlyconsistsoffourparts.Thefirstpartisabouthowtouseneuralnetworktoexpresstherelationwithinafuzzyrule.Thesecondpartisthesimplificationofthefirstpart,andexperimentsshowthatthesesimplificationswork.Onthecontrarytothesecondpart,thethirdpartistheenhancementofthefirstpartanditcanbeusedwhenthefirstpartcannotworkverywellinthefuzzyinferencealgorithm,whichwouldbeintroducedinthefourthpart.Finally,thefourthpart"neuralfuzzyinferencealgorithm"isbeenintroduced.Itcaninferencethenewmembershipfunctionoftheoutputbasedonpreviousfuzzyrules.Theaccuracyofthefuzzyinferencealgorithmisdependentonneuralnetworkgeneralizationability.Evenifthegeneralizationabilityoftheneuralnetworkweusedisgood,westillgetinaccurateresultssincethenewcomingrulemaynotberelatedtoanyofthepreviousrules.Experimentsshowthisalgorithmissuccessfulinsituationswhichsatisfytheseconditions.

简介：Afaultdiagnosismodelisproposedbasedonfuzzysupportvectormachine(FSVM)combinedwithfuzzyclustering(FC).Consideringtherelationshipbetweenthesamplepointandnon-selfclass,FCalgorithmisappliedtogeneratefuzzymemberships.Inthealgorithm,sampleweightsbasedonadistributiondensityfunctionofdatapointandgeneticalgorithm(GA)areintroducedtoenhancetheperformanceofFC.Thenamulti-classFSVMwithradialbasisfunctionkernelisestablishedaccordingtodirectedacyclicgraphalgorithm,thepenaltyfactorandkernelparameterofwhichareoptimizedbyGA.Finally,themodelisexecutedformulti-classfaultdiagnosisofrollingelementbearings.Theresultsshowthatthepresentedmodelachieveshighperformancesbothinidentifyingfaulttypesandfaultdegrees.TheperformancecomparisonsofthepresentedmodelwithSVManddistance-basedFSVMfornoisycasedemonstratethecapacityofdealingwithnoiseandgeneralization.

简介：这份报纸基于模糊规则建议修改Couzin和速度适应的Couzin结队模型。在模型，代理人在三个感觉地区通过一个fuzzy-rule-based决策计划更新他们的位置。系统的稳定性被保证。模拟证明集中概率和相对收敛尺寸两个都被改进。

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简介：InthisstudyanewhybridaggregationoperatornamedasthegeneralizedintuitionisticfuzzyhybridChoquetaveraging(GIFHCA)operatorisdefined.Meantime,somedesirablepropertiesarestudied,andseveralimportantcasesareexamined.Furthermore,wedefinethegeneralizedShapleyGIFHCA(GS-GIFHCA)operator,whichdoesnotonlyoverallconsidertheimportanceofelementsandtheirorderedpositions,butalsogloballyreflectthecorrelationsamongthemandtheirorderedpositions.Inordertosimplifythecomplexityofsolvingafuzzymeasure,wefurtherdefinethegeneralizedλ-ShapleyGIFHCA(GλS-GIFHCA)operator.

简介：这份报纸的主要目标是与用模糊集合理论跟随跳散开的内在的财产在Mertons框架定价欧洲选择。由于真实金融市场的含糊的变化，一般水准跳评价并且跳尺寸不能精确地被记录或收集。这份报纸的主要想法因此是作为一个三角形的模糊数字为率建模并且跳作为模糊随机的变量和使用缩放模糊集合的性质推出位于合理期望平衡价格的原则下面的二个不同跳散开模型。不同于许多传统的模型，欧洲选择价格现在将变成一个模糊数字。这个模型的主要优点之一是它允许投资者在可接受的信仰度下面选择合理欧洲选择价格。实验结果将在建议模型上为改进提供同样有用的反馈信息。

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简介：在D操作员的概念之上造由Atanassov(1989)介绍了，这篇文章建议一条改进客观途径和一个混血儿来临到operationalizeD以便在intuitionistic的犹豫模糊数字(IFN)能进一步被精制并且描绘。数字实验被执行在文学与存在方法相比表明建议途径的特征和新奇。目的是供应一个有效方法在intuitionistic精制犹豫模糊的为更可靠、充满信心的决定帮助的评价。

简介：Weconsiderforafixedμ,theclassofpolynomialsPn,μ,s:=P(z)=zsanzn-s+n-s∑j=μan-jzn-j-s;1≤μ≤n-sofdegreen,havingallzerosin|z|≤k,k≤1,withs-foldzerosattheorigin.Inthispaper,wehaveobtainedinequalitiesinthereversedirectionfortheaboveclassofpolynomials.Besides,extensionsofsomeTuran-typeinequalitiesforthepolarderivativeofpolynomialshavebeenconsidered.

简介：Makingfulluseofwindpowerisoneofthemainpurposesofthewindturbinegeneratorcontrol.Conventionalhillclimbingsearch(HCS)methodcanrealizethemaximumpowerpointtracking(MPPT).However,thestepsizeofHCSmethodisconstantsothatitcannotconsiderbothsteady-stateresponseanddynamicresponse.Afuzzylogicalcontrol(FLC)algorithmisproposedtosolvethisprobleminthispaper,whichcantrackthemaximumpowerpoint(MPP)quicklyandsmoothly.ToevaluateMPPTalgorithms,fourperformanceindicesarealsoproposedinthispaper.Theyaretheenergycapturedbywindturbine,themaximumpower-pointtrackingtimewhenwindspeedchangesslowly,thefluctuationmagnitudeofrealpowerduringsteadystate,andtheenergycapturedbywindturbinewhenwindspeedchangesfast.ThreecasesaredesignedandsimulatedinMATLAB/Simulinkrespectively.ThecomparisonofthethreeMPPTstrategiesconcludesthattheproposedfuzzylogicalcontrolalgorithmismoresuperiortotheconventionalHCSalgorithms.

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简介：Inthispaper,weshalldealwiththeboundednessoftheLittlewood-Paleyoperatorswithroughkernel.WeprovetheboundednessoftheLusin-areaintegralμΩ,sandLittlewood-PaleyfunctionsμΩandμλontheweightedamalgamspaces(Lqω,Lp)α(Rn)as1

简介：ThiscriticalreviewassessesEliHinkel’sresearchpaperTheEffectsofEssayTopicsonModalVerbUsesinL1andL2AcademicWritingintermsofbothwritingprocessandwritingproduct.Itacknowledgesthemeritsaswellastheflawsofthepaperandconcludeswithfuturestudysuggestions.

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简介：Theworldisundergoingconstantandcomplicatedchange.Development,adjustmentandtransformationmakeuptheworld’smainmelody,whilepeaceanddevelopmentarestillthecurrentthemes.Multi-polarizationandeconomicglobalizationcontinuetobecomemoreentrenched,andculturaldiversityandsocialnetworkingacross

简介：Asymmetricstereoscopicvideocodingcantakeadvantageofbinocularsuppressioninhumanvisionbyrepresentingoneofthetwoviewsinlowerquality.Thispaperproposesabitallocationstrategyforasymmetricstereoscopicvideocoding.Inordertoimprovetheaccuracyofbitallocationandratecontrolintheleftview,aproportionalintegral-derivativecontrollerisadopted.Meanwhile,tocontrolthequalityfluctuationbetweenconsecutiveframesoftheleftview,aqualitycontrollerisadopted.Besides,afuzzycontrollerisproposedtocontrolthevariationinqualitybetweentheleftandrightviewsbycomparingthePSNRdisparityoftwoviewswithafixedthreshold,whichisusedtoquantizethebinocularpsycho-visualredundancyandadjustthequantizationparameter(QP)oftherightviewcorrespondingly.TheproposedalgorithmhasbeenimplementedinH.264/AVCvideocodec,andtheexperimentalresultsshowitseffectivenessinratecontrolwhilekeepingagoodqualityfortheleftview,andfewerbitsareallocatedfortherightviewsothattheoverallbitrateissavedby7.2%atmostwithoutthelossofsubjectivevisualqualityforstereoscopicvideo.

简介：随着高等教育体制改革的深化，高校的思想政治工作内容呈现多样化的特点，辅导员队伍能否切实有效地开展工作，是解决大学生群体问题的关键因素。因此，对于高校辅导员工作考核体系进行研究意义重大，可以通过综合运用层次分析法及模糊评价法对辅导员考核体系进行构建，使辅导员考核体系更加科学合理。

简介：摘要文章提出了政府机关“两型社会消费”评价指标体系及AHP-Fuzzy模型，利用AHP法确定各评价指标的权重，然后分层次进行模糊综合评判，最后综合出总的评价结果。通过对某政府机关的实例分析，表明该模型具有一定的实用性。

简介：UnlikethepreviousresearchworksanalyzingthestabilityoftheT-S(Takagi?Sugeno)fuzzymodel,anextensiononthestabilityconditionofT-Sfuzzysystemswithadifferentstrategyisprovided.Inthestrategyanewvariable,whichisrelativetothegradeoffuzzymembershipfunction,isintroducedtothestabilityanalysisandanewstabilityconclusionisdeduced.Thedefinitionofstabilityconditioninthispaperisdifferentfrompreviousworks,thoughtheyaresimilarinform.Withtheproposedmethod,thesimulationinflightcontrollawshowsabettereffectiveness.