| New weighting factors assignment of evidence theorybased one vidence distance |
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| 引用本文： | Chen Liangzhou,Shi Wenkang & Du FengSchool of Electronics & Electrics Engineering,Shanghai Jiaotong University,Shanghai 200030,P. R. China. New weighting factors assignment of evidence theorybased one vidence distance[J]. 系统工程与电子技术(英文版), 2005, 16(2) |
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| 作者姓名： | Chen Liangzhou Shi Wenkang & Du FengSchool of Electronics & Electrics Engineering Shanghai Jiaotong University Shanghai 200030 P. R. China |
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| 作者单位： | Chen Liangzhou，Shi Wenkang & Du FengSchool of Electronics & Electrics Engineering，Shanghai Jiaotong University，Shanghai 200030，P. R. China |
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| 基金项目： | ThisprojectwassupportedbytheNationalNaturalScienceFoundationofChina(30400067),FoundationofNationalDefenceKeyLaboratory(51476040103JW13). |
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| 摘 要： | 1.INTRODUCTION Dempster Shafertheoryiswidelyusedinmanyfields suchasinformationfusionanddecision making[1,2].Anditisaverysimpleandstraightforwardwayofex tendingclassicalprobabilitytheory.However,Demp ster’scombinationoperatorisapoorsolutionforthe managementoftheconflictbetweenthevariousinfor mationsourcesatthenormalizationstep.Severalau thorshavecriticizeditandsomehaveproposedother solutions[3,4].InRef.[4],Lefevrehaspointedout thatthecoreofalotofmodifiedmethodistheassign mentoftheconfli…
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New weighting factors assignment of evidence theory based on evidence distance |
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| Chen Liangzhou,Shi Wenkang,Du Feng. New weighting factors assignment of evidence theory based on evidence distance[J]. Journal of Systems Engineering and Electronics, 2005, 16(2) |
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| Authors: | Chen Liangzhou Shi Wenkang Du Feng |
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| Affiliation: | School of Electronics & Electrics Engineering, Shanghai Jiaotong University, Shanghai 200030, P. R. China |
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| Abstract: | Evidence theory has been widely used in the information fusion for its effectiveness of the uncertainty reasoning. However, the classical DS evidence theory involves counter-intuitive behaviors when the high conflict information exists. Based on the analysis of some modified methods, Assigning the weighting factors according to the intrinsic characteristics of the existing evidence sources is proposed, which is determined on the evidence distance theory. From the numerical examples, the proposed method provides a reasonable result with good convergence efficiency. In addition, the new rule retrieves to the Yager's formula when all the evidence sources contradict to each other completely. |
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| Keywords: | evidence theory rule of combination weighting factors evidence distance. |
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