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DS证据理论.ppt

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浙江大学研究生《人工智能》课件Outline[1]Dempster,A.P.Upperandlowerprobabilitiesinducedbyamultivaluedmapping.AnnalsofMathematicalStatistics,1967,38(2):325-339.【提出证据理论的第一篇文献】 [2]Dempster,A.P.GeneralizationofBayesianInference.JournaloftheRoyalStatisticalSociety.SeriesB30,1968:205-247. [3]Shafer,G.AMathematicalTheoryofEvidence.PrincetonUniversityPress,1976.【证据理论的第一本专著，标志其正式成为一门理论】 [4]Barnett,J.A.Computationalmethodsforamathematicaltheoryofevidence.In:Proceedingsof7thInternationalJointConferenceonArtificialIntelligence(IJCAI-81),Vancouver,B.C.,Canada,Vol.II,1981:868-875.【第一篇将证据理论引入AI领域的标志性论文】[5]Zadeh,L.A.ReviewofShafer’samathematicaltheoryofevidence.AIMagazine,1984,5:81-83.【对证据理论进行质疑的经典文献之一】 [6]Shafer,G.Perspectivesonthetheoryandpracticeofbelieffunctions.InternationalJournalofApproximateReasoning,1990,4:323-362. [7]Shafer,G.Rejoindertocommentson“Perspectivesonthetheoryandpracticeofbelieffunctions”.InternationalJournalofApproximateReasoning,1992,6:445-480. [8]Voorbraak,F.OnthejustificationofDempster’sruleofcombination.ArtificialIntelligence,1991,48:171-197. [9]Smets,P.Thecombinationofevidenceinthetransferablemodel.IEEETransactionsonPatternAnalysisandMachineIntelligence,1990,12(5):447-458. [10]Smets,P,andKennes,R.Thetransferablebeliefmodel.ArtificialIntelligence,1994,66:191-234.[11]Voobraak,F.AcomputationallyefficientapproximationofDempster-Shafertheory.InternationalJournalofMan-MachineStudy,1989,30:525-536. [12]Dubois,D,Prade,H.Consonantapproximationsofbelieffunctions.InternationalJournalofApproximateReasoning,1990,4:279-283. [13]Tessem,B.Approximationsforefficientcomputationinthetheoryofevidence.ArtificialIntelligence,1993,61:315-329.【注：文献10-12均为证据理论近似计算方法】 [14]Simard,M.A.,etal.DatafusionofmultiplesensorsattributeinformationfortargetidentityestimationusingaDempster-Shaferevidentialcombinationalgorithm.In:ProceedingsofSPIE-InternationalSocietyforOpticalEngineering,1996,Vol.2759:577-588.【提出了一种实现证据理论的“修剪算法”】[15]Josang,A.Theconsensusoperatorforcombiningbeliefs.ArtificialIntelligence,2002,1