简介：AMultimediastreamsdynamicratecontrolalgorithmbasedonFuzzyadaptivePID(MFPID)hasbeenproposedtoimplementmultimediastreams'endsendingrateon-lineself-regulatingandsmoothing,andtotracksystemresourcesintime,sothatitcanavoidsystem'sregulatingoscillationandguaranteesystem'sstability.And,someworkhasbeendonetoanalyzeadaptivesessionmodelofmultimediastreams,toimplementfutureavailablebandwidthestimationofIPnetwork,toachievePIDparameters'on-lineself-tuningbyfuzzycontrolling.SimulationvalidatedthetheoreticalresultsofMFPID.

简介：ToovercometheshortcomingsoftheLeeimageenhancementalgorithmanditsimprovementbasedonthelogarithmicimageprocessing(LIP)model,thispaperproposeswhatwebelievetobeaneffectiveimageenhancementalgorithm.Thisalgorithmintroducesfuzzyentropy,makesfulluseofneighborhoodinformation,fuzzyinformationandhumanvisualcharacteristics.Toenhanceanimage,thispaperfirstcarriesoutthereasonablefuzzy-3partitionofitshistogramintothedarkregion,intermediateregionandbrightregion.Itthenextractsthestatisticalcharacteristicsofthethreeregionsandadaptivelyselectstheparameterαaccordingtothestatisticalcharacteristicsoftheimage’sgray-scalevalues.Italsoaddsausefulnonlineartransform,thusincreasingtheubiquityofthealgorithm.Finally,thecausesforthegray-scalevalueovercorrectionthatoccursinthetraditionalimageenhancementalgorithmsareanalyzedandtheirsolutionsareproposed.Thesimulationresultsshowthatourimageenhancementalgorithmcaneffectivelysuppressthenoiseofanimage,enhanceitscontrastandvisualeffect,sharpenitsedgeandadjustitsdynamicrange.

简介：Thispaperpresentsanewsolutiontotheimagesegmentationproblem,whichisbasedonfuzzy-neural-networkhybridsyste

简介：Anadaptivefuzzyslidingmodecontrol(AFSMC)approachisproposedforaroboticairship.First,themathematicalmodelofanairshipisderivedintheformofanonlinearcontrolsystem.Second,anAFSMCapproachisproposedtodesigntheattitudecontrolsystemofairship,andtheglobalstabilityoftheclosed-loopsystemisprovedbyusingtheLyapunovstabilitytheorem.Finally,simulationresultsverifytheeffectivenessandrobustnessoftheproposedcontrolapproachinthepresenceofmodeluncertaintiesandexternaldisturbances.

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简介：Inthispaper,afuzzyreasoningbasedtemporalerrorconcealmentmethodisproposed.ThebasictemporalerrorconcealmentisimplementedbyestimatingMotionVector(MV)ofthelostMacroBlock(MB)fromitsneighboringMVs.WhichMVisthemostproperoneisevaluatedbysomecriteria.Generally,twocriteriaarewidelyused,namelySideMatchDistortion(SMD)andSumofAbsoluteDifference(SAD)ofcorrespondingMV.However,eachcriterioncouldonlypartlydescribethestatusoflostblock.Toaccomplishthejudgementmoreaccurately,thetwomeasuresareconsideredtogether.ThusarefinedmeasurebasedonfuzzyreasoningisadoptedtobalancetheeffectsofSMDandSAD.TermsSMDandSADareregardedasfuzzyinputandtheterm‘similarity’asoutputtocompletefuzzyreasoning.ResultoffuzzyreasoningrepresentshowthetestedMVissimilartotheoriginalone.Andk-meansclusteringtechniqueisperformedtodefinethemembershipfunctionofinputfuzzysetsadaptively.Accordingtotheexperimentalresults,theconcealmentbasedonnewmeasureachievesbetterperformance.

简介：AnovelH_∞tracking-baseddecentralizedindirectadaptiveoutputfeedbackfuzzycontrollerforaclassofuncertainlarge-scalenonlinearsystemsisdeveloped.Byvirtueoftheproperfilteringoftheobservationerrordynamics,theobserver-baseddecentralizedindirectadaptivefuzzycontrolschemeispresentedforaclassoflarge-scalenonlinearsystemsusingthecombinationofH_∞trackingtechnique,afuzzyadaptiveobserverandfuzzyinferencesystems.Theoutputfeedbackandadaptationmechanismsarebothrobustandimplementableindeedowingtotheirfreedomfromtheunavailableobservationerrorvector.Allthesignalsoftheclosed-looplargescalesystemareguaranteedtostayuniformlyboundedandtheoutputerrorstakeonH_∞trackingperformance.Simulationresultssubstantiatetheeffectivenessoftheproposedscheme.

简介：Uncertainandhesitantinformation,widelyexistinginthereal-worldqualitativedecisionmakingproblems,bringsgreatchallengestodecisionmakers.Hesitantfuzzylinguistictermsets(HFLTSs),aneffectivelinguisticcomputationaltoolinmodelingandelicitingsuchinformation,havehencearousedmanyscholars’interestsandsomeextensionshavebeenintroducedrecently.However,thesemethodsarebasedonthediscretelinguistictermframeworkwiththelimitedexpressiondomain,whichactuallydepictqualitativeinformationusingseveralsinglevalues.Therefore,itishardtoensuretheintegrityofthesemanticsrepresentationandtheaccuracyofthecomputationresults.Todealwiththisproblem,asemanticsbasisframeworkcalledcompletelinguistictermset(CLTS)isdesigned,whichadoptsaseparationstructureoflinguisticscaleandexpressiondomain,enrichingsemanticsrepresentationofdecisionmakers.Onthisbasistheconceptoffuzzyintervallinguisticsets(FILSs)isputforwardthatemploystheintervallinguistictermwithprobabilitytoincreasetheflexibilityofelicitingandrepresentinguncertainandhesitantqualitativeinformation.Forpracticalapplications,afuzzyintervallinguistictechniquefororderpreferencebysimilaritytoidealsolution(FILTOPSIS)methodisdevelopedtodealwithmulti-attributegroupdecisionmaking(MAGDM)problems.Throughthecasesofmovieandenterpriseresourceplanning(ERP)systemselection,theeffectivenessandvalidityoftheproposedmethodareillustrated.

简介：Aimingtoreducethecomputationalcostsandconvergetoglobaloptimum,anovelmethodisproposedtosolvetheoptimizationofacostfunctionintheestimationofdirectionofarrival(DOA).Inthismethod,ageneticalgorithm(GA)andfuzzydiscreteparticleswarmoptimization(FDPSO)areappliedtooptimizethedirectionofarrivalandpowerparametersofthemodesimultaneously.Firstly,theGAalgorithmisappliedtomakethesolutionfallintotheglobalsearching.Secondly,theFDPSOmethodisutilizedtonarrowdownthesearchfield.InFDPSO,achaoticfactorandacrossovermethodareaddedtospeeduptheconvergence.Thisapproachhasbeendemonstratedthroughsomecomputationalsimulations.ItisshownthattheproposedalgorithmcanestimateboththeDOAandthepowersaccurately.Itismoreefficientthansomepresentmethods,suchastheNewton-likealgorithm,Akaikeinformationcritical(AIC),particleswarmoptimization(PSO),andgeneticalgorithmwithparticleswarmoptimization(GA-PSO).

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简介：Anovelactivecontourmodelisproposed,whichincorporateslocalinformationdistributionsinafuzzyenergyfunctiontoeffectivelydealwiththeintensityinhomogeneity.Moreover,theproposedmodelisconvexwithrespecttothevariablewhichisusedforextractingthecontour.Thismakesthemodelindependentontheinitialconditionandsuitableforanautomaticsegmentation.Furthermore,theenergyfunctionisminimizedinacomputationallyefficientwaybycalculatingthefuzzyenergyalterationsdirectly.Experimentsarecarriedouttoprovetheperformanceoftheproposedmodeloversomeexistingmethods.Theobtainedresultsconfirmtheefficiencyofthemethod.

简介：Afuzzyparticleswarmoptimization(PSO)onthebasisofelitearchivingisproposedforsolvingmulti-objectiveoptimizationproblems.First,anewperturbationoperatorisdesigned,andtheconceptsoffuzzyglobalbestandfuzzypersonalbestaregivenonbasisofthenewoperator.Afterthat,particleupdatingequationsarerevisedonthebasisofthetwonewconceptstodiscouragetheprematureconvergenceandenlargethepotentialsearchspace;second,theelitearchivingtechniqueisusedduringtheprocessofevolution,namely,theeliteparticlesareintroducedintotheswarm,whereastheinferiorparticlesaredeleted.Therefore,thequalityoftheswarmisensured.Finally,theconvergenceofthisswarmisproved.TheexperimentalresultsshowthatthenondominatedsolutionsfoundbytheproposedalgorithmareuniformlydistributedandwidelyspreadalongtheParetofront.

简介：Themultipleattributedecisionmakingproblemsarestudied,inwhichtheinformationaboutattributeweightsispartlyknownandtheattributevaluestaketheformofintuitionisticfuzzynumbers.Theoperationallawsofintuitionisticfuzzynumbersareintroduced,andthescorefunctionandaccuracyfunctionarepresentedtocomparetheintuitionisticfuzzynumbers.Theintuitionisticfuzzyorderedweightedaveraging(IFOWA)operatorwhichisanextensionofthewell-knownorderedweightedaveraging(OWA)operatorisinvestigatedtoaggregatetheintuitionisticfuzzyinformation.Inordertodeterminetheweightsofintuitionisticfuzzyorderedweightedaveragingoperator,alineargoalprogrammingprocedureisproposedforlearningtheweightsfromdata.Finally,anexampleisillustratedtoverifytheeffectivenessandpracticabilityofthedevelopedmethod.

简介：Inthispaper,weproposeaknowledgediscoverymethodbasedonthefuzzysettheorytohelpelderswithplantcultivation.Initially,thefuzzysetsareconstructedbyusingthefeatureselectionandstatisticalintervalestimation.Themin-maxinferenceandthecenterofgravitydefuzzificationmethodarethenusedtooutputacandidatepatternset.Finally,apatterndiscoveryisadoptedtoobtainthepatternsfromthecandidatesetforthecultivationsuggestionsbyconsideringthefrequencyweightanduser’sexperience.Inordertodemonstratetheperformanceofourmethodinplantingsystems,weconductaclicks-and-mortarcultivationplatform,namelyEdenGarden,fortheelderlylifestylesofhealthandsustainability(LOHAS).Theexperimentalresultsshowthattheaccuracyrateofourknowledgediscoverymethodcanreachupto85%.Moreover,theresultsoftheLOHASindexscaletablepresentthatthehappinessoftheeldersisincreasingwhiletheeldersareusingourproposedmethod.

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

简介：Thispaperpresentsthedesignandimplementationofanenergymanagementsystem(EMS)withwavelettransformandfuzzycontrolforaresidentialmicro-grid.Thehybridsysteminthispaperconsistsofawindturbinegenerator,photovoltaic(PV)panels,anelectricvehicle(EV),andasupercapacitor(SC),whichisabletoconnectordisconnecttothemaingrid.Thecontrolstrategyisresponsibleforcompensatingthedifferencebetweenthegeneratedpowerbythewindandsolargeneratorsandthedemandedpowerbytheloads.Wavelettransformdecomposesthepowerdifferenceintoasmoothedcomponentandafastfluctuatedcomponent.Thecommandapproachusedforfuzzylogicrulesconsidersthestateofcharging(SOC)ofEV,renewableproduction,andtheloaddemandasparameters.Furthermore,thecommandrulesaredevelopedinordertoensureareliablegridwhentakingintoaccounttheEVbatteryprotectiontodecidetheoutputpoweroftheEV.ThemodelofthehybridsystemisdevelopedindetailunderMatlab/Simulinksoftwareenvironment.

简介：Anewapproachtoknowledgeacquisitioninincompleteinformationsystemwithfuzzydecisionsisproposed.Insuchincompleteinformationsystem,theuniverseofdiscourseisclassifiedbythemaximaltoleranceclasses,andfuzzyapproximationsaredefinedbasedonthem.Threetypesofrelativereductsofmaximaltoleranceclassesarethenproposed,andthreetypesoffuzzydecisionrulesbasedontheproposedattributedescriptionaredefined.ThejudgmenttheoremsandapproximationdiscernibilityfunctionswithrespecttothemarepresentedtocomputetherelativereductbyusingBooleanreasoningtechniques,fromwhichwecanderiveoptimalfuzzydecisionrulesfromthesystems.Atlast,threetypesofrelativereductsofthesystemandtheircomputingmethodsaregiven.

简介：Telstra选用Amdocs产品11月24日亚洲移动通信大会上，客户体验系统提供商Amdocs公司宣布，Telstra部署了AmdocsChangingWorlds的个性化技术，以支持其BigPond移动门户，该门户能够通过移动设备为客户提供新闻及资讯服务。Telstra全面强化了BNPond移动门户网站的功能，

简介：中国移动最后十省资产在香港联交所的敲锣上市，迎来了中国电信业整体上市的收官阶段，中国移动也因此在资本市场花魁独占。此前不久，中国联通实现了除贵州外30个内地省公司资产的上市，离整体上市仅一步之遥。虽然中国电

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