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变精度粗糙集属性约简在电信行业中的应用 Title:ApplicationofRoughSetAttributeReductionwithVariablePrecisionintheTelecommunicationIndustry Abstract: Thetelecommunicationindustryplaysapivotalroleinmodernsociety,offeringawiderangeofservicesandsolutionstobothindividualsandbusinesses.Insuchacomplexandcompetitiveindustry,makinginformeddecisionsiscriticalfororganizationstostayahead.Thispaperexplorestheapplicationofroughsetattributereductionwithvariableprecision,adataminingtechnique,inthetelecommunicationindustry.Byreducingthenumberofattributesinadataset,thisapproachhelpstosimplifythedecision-makingprocessandimprovetheaccuracyoftheanalysis. Introduction: Thetelecommunicationindustryfacesnumerouschallenges,includingintensecompetition,evolvingcustomerdemands,andrapidtechnologicaladvancements.Inordertoremaincompetitive,telecommunicationcompaniesneedtoadapttothesechangesandmakedata-drivendecisions.Theapplicationofroughsetattributereductionwithvariableprecisionprovidesimmensevalueinextractingrelevantinformationandreducingdatacomplexity.Thispaperaimstodiscussthebenefitsandapplicationsofthistechniqueinthetelecommunicationindustry. 1.OverviewofRoughSetTheory: Roughsettheoryisamathematicalframeworkfordealingwithimpreciseanduncertaindata.Itprovidesaflexibleapproachtoanalyzeandunderstandcomplexdatasetsbyeliminatingirrelevantandredundantattributes.Thecentralconceptofroughsettheoryisthediscernibilitymatrix,whichcapturestherelationshipbetweenattributesandtheirimpactondecision-making. 2.AttributeReductionwithVariablePrecision: Thetraditionalroughsetapproachassumesthatallattributespossessanequaldegreeofsignificance.However,inmanyreal-worldscenarios,notallattributesareequallyimportant.Variableprecision,anextensionofroughsettheory,addressesthislimitationbyconsideringattributesignificanceatdifferentgranularitiesorprecisionlevels.Thisallowsformoreaccurateattributereductionandfacilitatesbetterdecision-making. 3.ApplicationsintheTelecommunicationIndustry: 3.1CustomerChurnPrediction: Oneofthesignificantchallengesface