基于模糊集的关联规则及其应用

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1、厦门大学硕士学位论文基于模糊集的关联规则及其应用姓名：郑晶晶申请学位级别：硕士专业：数量经济学指导教师：朱建平20060401AbstractDataminingisanewsubjectwhichariseswiththedevelopmentofartificialintelligenceanddatabase．Associationruleisoneoftheimportantresearchtasks，andalsooneofthekeytechnologiesindatamining．Itspurposeistofindouttheassociationbe

2、tweenallitemsinbusinessdatabase．Associationruleplaysaveryimportantroleindecisionsystem，expertsystemandaptitudeinformationsystemineveryaspect．Manyexpertshavebeenmakingresearchonassociatonrule，andhavemadebigprogressbasedODoriginalmethods．Theyalsofindoutseveralnewmethodswithrespecttothekno

3、wledgeofmanyotherfields．Thispapergivesoutananalysisofthedefinitionsofassociationruleintheexistingbooksandpapers．Thenitpointsoutthecauseofthedifference，normalizesthedescriptionandmakesoutnewdescriptionsfromtheangleofsetandpossibility,whichlaysafoundationonthefurtherresearchofthetheoryand

4、applicationoftheassociationrule．Thenweusethegreyassociationruletomakeempiricalanalysis．Thistheoryisoftenusedtoanalyzethefeasibilityofaproject，butinthispaperitisusedtofindouttherelationshipbetweenthequestionsinaquestionnairebyanalyzingtheresults，Afterthat，amembershipfuctionisgivenoutbyco

5、nsideringthefeatureoftheoriginaldata，whichisusedtoanalyzetheresultgivenbythegreyassociationrule．Intheend，weusethetworulestogethertoanalyzetheindustrialstructureofXiamenCity．Thegreyassociationcoefficientisusedaspartoftheweiightinfuzzyassociationruletofindoutfuzzyweightedassociationrule．F

6、inallywegivesoutsomesuggestionsaccordingtotheanyalysisresult．Themaincontributionsofthisdissertationarethatfirstly,wepointsouttheinconsistencyandthepossibleconfusionthatitleadstobasedonthesummerizationoftheexistingexpressionofassociationrule，andnormalizethedescription；secondlNgivesoutame

7、mbershipfunctionconsideringthefeatureofdata；thirdly,welinkthetwomethodstogether,thegreyassociationcoefficientisusedtobepartoftheweie,htinfuzzyweithtedassociationrule．Keywords：datamining；associationrule；greytheory；fuzzyset厦门大学学位论文原创性声明兹呈交的学位论文，是本人在导师指导下独立完成的研究成果。本人在论文写作中参考的其他个人或