简介:InthisstudyanewhybridaggregationoperatornamedasthegeneralizedintuitionisticfuzzyhybridChoquetaveraging(GIFHCA)operatorisdefined.Meantime,somedesirablepropertiesarestudied,andseveralimportantcasesareexamined.Furthermore,wedefinethegeneralizedShapleyGIFHCA(GS-GIFHCA)operator,whichdoesnotonlyoverallconsidertheimportanceofelementsandtheirorderedpositions,butalsogloballyreflectthecorrelationsamongthemandtheirorderedpositions.Inordertosimplifythecomplexityofsolvingafuzzymeasure,wefurtherdefinethegeneralizedλ-ShapleyGIFHCA(GλS-GIFHCA)operator.
简介:Dempster-Shaferevidencetheory(DStheory)iswidelyusedinbrainmagneticresonanceimaging(MRI)segmentation,duetoitsefficientcombinationoftheevidencefromdifferentsources.Inthispaper,animprovedMRIsegmentationmethod,whichisbasedonfuzzyc-means(FCM)andDStheory,isproposed.Firstly,theaveragefusionmethodisusedtoreducetheuncertaintyandtheconflictinformationinthepictures.Then,theneighborhoodinformationandthedifferentinfluencesofspatiallocationofneighborhoodpixelsaretakenintoconsiderationtohandlethespatialinformation.Finally,thesegmentationandthesensordatafusionareachievedbyusingtheDStheory.ThesimulatedimagesandtheMRIimagesillustratethatourproposedmethodismoreeffectiveinimagesegmentation.
简介:特征选择(FS)指选择给定的outcome.Unlike是很预兆的那些输入属性的过程另外的维数减小方法,在FS的reduction.The好处是双重的以后,特征选购者保存特征的原来的意思:它更加减少正式就职算法的跑的时间,并且增加在用模糊逻辑和模糊逻辑的乳房X线照片分类的FS过程基于的产生model.This纸分析的精确性Quickreduct算法被申请从特征的FS提取了使用在乳房X线照片region.The上构造的灰色的水平co-occurence矩阵(GLCM)预兆的精确性特征用NaiveBayes,Ripper,C4.5,和蚂蚁矿工algo被测试
简介:Amongtheavailableclusteringalgorithmsindatamining,theCLOPEalgorithmattractsmuchmoreattentionwithitshighspeedandgoodperformance.However,theproperchoiceofsomeparametersintheCLOPEalgorithmdirectlyaffectsthevalidityoftheclusteringresults,whichisstillanopenissue.Forthispurpose,thispaperproposesafuzzyCLOPEalgorithm,andpresentsamethodfortheoptimalparameterchoicebydefiningamodifiedpartitionfuzzydegreeasaclusteringvalidityfunction.TheexperimentalresultswithrealdatasetillustratetheeffectivenessoftheproposedfuzzyCLOPEalgorithmandoptimalparameterchoicemethodbasedonthemodifiedpartitionfuzzydegree.
简介:Inthispaper,weprovideaframeworkoffuzzylandscapetheoryanddiscussanapplicationtoallianceanalysis.Thefuzzylandscapetheorymayallowustoanalysesavarietyofaggregationprocessesinpolitical,economic,andsocialproblemsinamoreflexiblemanner.Thesimulation3resultsfortheproblemsoftheinternationalalignmentoftheSecondWorldWarinEuropeandthecoalitionformationinstandard-settingalliancesinthecaseoftheUNIXoperationsystemarecomparedwiththosegivenbytheoriginaltheory.
简介:基因子集选择为microarray数据的分类和分析是必要的。然而,自从基因表示数据,基因选择被知道是一项很困难的任务不仅有高维数,而且包含冗余的信息和噪音。应付这些困难,这份报纸介绍基于的预处理途径二个主要步骤填写了的模糊逻辑。首先,我们使用模糊推理规则把给定的数据集的基因表达式层次转变成模糊的值。然后,我们把一种类似关系用于这些模糊价值定义模糊等价组,包含强烈类似的基因的每个组。尺寸减小被基于相互的信息为每组类似的基因考虑一个单个代表完成。为了估计这的实用性,来临,广泛的试验用三个统计过滤器和三个分类器与一个联合分类模型一起在三著名公共数据集上被执行。
简介:Solvingcomplexdecisionproblemsrequirestheusageofinformationfromdifferentsources.Usuallythisinformationisuncertainandstatisticalorprobabilisticmethodsareneededforitsprocessing.However,inmanycasesadecisionmakerfacesnotonlyuncertaintyofarandomnaturebutalsoimprecisioninthedescriptionofinputdatathatisratheroflinguisticnature.Therefore,thereisaneedtomergeuncertaintiesofbothtypesintoonemathematicalmodel.Inthepaperwepresentmethodologyofmerginginformationfromimpreciselyreportedstatisticaldataandimpreciselyformulatedfuzzypriorinformation.Moreover,wealsoconsiderthecaseofimpreciselydefinedlossfunctions.Theproposedmethodologymaybeconsideredastheapplicationoffuzzystatisticalmethodsforthedecisionmakinginthesystemsanalysis.