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1、昆明理工大學(xué)碩士學(xué)位論文基于粗糙集的數(shù)據(jù)簡約算法研究及設(shè)計姓名：范敏申請學(xué)位級別：碩士專業(yè)：系統(tǒng)理論指導(dǎo)教師：劉文奇20031201AbstractRoughsettheory，introducedbyPawlakintheearly1980s，isanewmathematicaltooltodealwithvaguenessanduncertainty．Pawlakfirstlycreatedtheconceptions：aqualityoflowerapproximationandaqualityofupperapproximation，reductiona
2、ttributes，core，boundary—area，etc．Theseconceptionsessentiallyemphasizedthereductionoftherelatedinformationsystem．Meanwhiletheseconceptionsactedasthebaseofthe‘‘KnowledgeDiscoveryinDatabase”(rd)D，orDataMining)．Thisapproachseemstobeoffundamentalimportancetoartificialintelligence(AI)andco
3、gnitivesciences，especiallyintheareasofmachinelearning，knowledgeacquisition，decisionanalysis，knowledgediscoveryfromdatabases，expertsystems，decisionsupportsystems，inductivereasoning，andpattemrecognition．Inparticular,theroughsetapproachhasfoundinterestingapplicationssetinmedicine，pharma
4、cology,business，banking，marketresearch，engineeringdesign，meteorology，vibrationanalysis，switchingfunctions，conflictanalysis，imageprocessing，voicerecognition，concurrentsystemanalysis，decisionanalysis，characterrecognition，andotherfieldsThispaperbeginswiththebasictheory,thenintroducesthe
5、mainIIpartsoftheauthorswork．Theyare(1)Firstpart一一researchtheSkowrondiscernibilitymatrix，thesignificantandrelevanceofattributes；Meanwhile，usingtheconditionalentropytoproposeaheuristicalgorithmforattributereduction；Then，correctthemistakeinthereference[17】；finally,theexperimentshowsthat
6、itCangetbettereffectanditalsoshowsthereductionresultsofUCIdatabaseusingthisalgorithm；(2)Secondpa療一Itbeginswiththevariableuniversaltheory,thenusesthediscemibiliVmatrixtodefinetheundistributedclass，whichproposingaheuristicalgorithmforattributereduction；finally,theexperimentshowsthatitC
7、angetbettereffectanditalsoshowsthereductionresultsofUCIdatabaseusingthisalgorithm．KEYWORDSRoughSettheory,variableuniverse，Attributereduction，relevantreduction，Discernibilitymatrix，Undistributedclass111昆明理工大學(xué)學(xué)位論文原創(chuàng)性聲明Y669296本人鄭重聲明：所呈交的學(xué)位論文，是本人在導(dǎo)師的指導(dǎo)下進行研究工作所取得的成果。除文中已經(jīng)注明引用的內(nèi)容外，本論文不合任何其
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