Basedsavingsanalysisanddevelopmentofcomputer-aideddiagnosticmodulescoveringtheoryofChinesemedicineTowritepapersnetwork:[Abstract]basedontraditionalChinesemedicinetheory,theuseoftheresearchanddevelopmentofTCMdiagnosisbasedonfuzzycoveringtheoryofreasoningsavings.TheTCMdiagnosisknowledgeformalizationexpoundeddesignedandconstructeddiagnosistheoverallframeworkoftheexpertsystemandtheprogrammingthatthistheTCMcomputer-aideddiagnosismodulesymptomsofincompletecasediagnosisanduseofman-machinedialoguesupplementarydiagnosticmethodstoimprovetheaccuracyofdiagnosis.[TCMdiagnosisfuzzytheoryparsimoniouscoveringtheoryoftheTCMcomputer-aideddiagnosticmoduleSyndromediagnosis,therearemanyuncertaininformation,thisinformationhasthefollowingcharacteristics:randomness,fuzzinessandnotdeterministicathomeandabroadinthecomputer-aided1systemresearchoftraditionalChinesemedicinediagnosis,parsimoniouscoveringitsimprovementTheprobabilitymodelcansolvethegeneralproblem.theparsimoniouscoveringin1965bytheUniversityofMarylandReggia,Nauetal,ismainlyusedtodescribethegeneraldiagnostic,andtheuseofreasonable,strictmathematicalformaldefinition.ThispaperstudiestheChinesecomputer-aideddiagnosticmodule,basedondifferentcharacteristicsfromthepointofviewofintelligentsystems,knowledgeexperienceandknowledgeoftraditionalChinesemedicinediagnosisandresearchofknowledgerepresentationandreasoningmethod,randomlytakefullaccountoftheexperienceandknowledgeoftraditionalChinesemedicinesyndrome,vaguenessandincompletenessonthebasisofcombinedthesequentialdiagnosticproblemthediagnosticmodelcoveringtheoryandtheactualdiagnosis,stepwiserefinementalgorithmisgivenasthecoreofassumptions-testcycle,themodelwithinmind(smallbowelsyndromediagnosisandusingacomputerprogramtoachievetheChinesecomputer-aideddiagnosismodulewillsavethesetcoveringitsprobability2modelintroducedcertificatesyndromediagnosismodel,pointedouttheimportanceoftheprincipleofconservationcoveringtheoryandaccordingtodifferentThediagnosticsystemisdividedintodifferentsavingsprinciple,analysisoftheheart(thesmallintestinesyndromediagnosissystemfeaturesbasedontheprincipleofsavingfortheirdiagnosis.nowthetheoreticalbasisofthemodel,researchideasandcontentAnalysisfollows.Coveringtheoryanditsconservationprinciple[1](Syndromes,M(symptomsandR(thepossibilitythatthesyndromediagnoseproblemswithgeneralknowledgeM+symptomsoccurinsomecases.BasedonknownD,M,R,andM+cancheckagainstsyndromediagnosisproblemisdefinedasfollows:1.1Definitions(1symptoms-syndromediagnosis(Pintheformofsettheorycanbedefinedasafour-tuple:P=(D,M,R,M+:D=(d1,d2,...dnrepresentsafinitenon-emptysetofallsyndromes,M=(m1,m2,...,mk)saidallthesymptomsoffinitenon-emptyset,RD*M(di,mj∈RSyndromesdi-mightcausesymptomsmj,3whichdefinesthedomainoftheT(R=D,whiletherangeisF(R=M.GivenD,M,andR,definethefollowingcollections:effect(di={mj|(di,mj∈R,di∈D}cause(mj={di|(di,mj∈R,mj∈M}effect(dicollectionofsyndromesdimaycauseallofthesymptoms,cause(mjsyndromemaycausesymptomsmjcollection,Effect(DI=Udi∈DIeffect(di)saidthatthecollectionofallofthesymptomsmaybecausedbythesymptomssetDI,TheCause(MJ=Umj∈MJcause(mj)maycausesymptomssetMJsyndromescollection.MJMrepresentsacollectionofexistingsymptoms.ParsimoniouscoveringtheorybasedonthebasicdefinitionoftheconceptonthefaceofthediagnosisproblemP,itssolutionisdefinedasfollows:1.2Definitions(2foranydiagnosticproblemP,Ifth...