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ID:36512186
大小:2.03 MB
页数:47页
时间:2019-05-11
《案例推理在决策支持系统中的应用研究》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、合肥工业大学硕士学位论文案例推理在决策支持系统中的应用研究姓名:王津津申请学位级别:硕士专业:计算机系统结构指导教师:田卫东20100401ResearchonCase—-BasedReasoninginDecisionSupportSystemAbstractCase-BasedReasoning(CBR)isanimportantmethodinsolvingproblemintheareaofartificialintelligence,itshowsgreatvitalitybecauseofi
2、t’SspecialreasoningstyleandSuccessapplication,moreandmorepeopleshowwiderangeofinteresttoCBR.CBRcanbeunderstoodasamethodofusingthepastcasesandexperiencetosolvenewproblems,italsocanbeconsideredasananalogyinferencefromonecasetoanotherone.Withthedevelopmento
3、fcomputerscience,usingthecomputerfordecisionsupportisbecomingatrend.IntheviewofdesigningthemoduleofCBRindecisionsupportsystem(DSS),thisdissertationresearchedthekeytechnologyofCBRsuchascaserepresentation,casebase,caseretrieval.Themaincontentsareinbriefasf
4、ollowing:(1)Onthebasisoftheintroductiontotheorigins,developmentandresearchstatusofCBR,thebasicmethod,systemframeworkandthekeytechnologyofCBRarediscussedindetailinthisdissertation.(2)Accordingtotheproblemofdesigningthecomplicatedtemporalcasesandeasebasein
5、somespecificareas.Basedonusingframeworkasthebasicmethodforrepresentingcase,wedescribedthecasewiththeattributeoftime;Itcanreducethecasebase’Ssizeintheconditionofmaintainthecrucialinformationofcasesbyusingcorrectionanalysistoselectfeatureattributeandprinci
6、palcomponentsanalysistorebuildfeatureattribute.(3)Forthepurposeofraisingtheefficiencyofcaseretrieve,firstlyinductionindexmethodisusedforreducingthesearchingspace,andthennearestneighbormethodisusedforsearchingthemostsimilarcase.Inordertosolvingtheproblemo
7、fsettingthefeatureweightwhencaseiSretrieved,acombinedmethodforsettingfeatureweightbasedonentropywas.proposedinthisdissertation.Themethod’Svalidityistestifiedbyexperiment.(4)TheimplementationofCBRmoduleindisasterrescuedecisionsupportsystemwasstudiedfinall
8、y.Keywords:Case-BasedReasoning,DSS,easebase,caseretrieval,entropy,combinedweightU插图清单图2.1案例推理系统框架⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯9图3.1框架表示图⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯一15图3.2属性相关性⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯17图4。1案例检索策略⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯
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