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New conflict representation model in generalized power space 被引量:2
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作者 You He Lifang Hu +2 位作者 Xin Guan Deqiang Han Yong Deng 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2012年第1期1-9,共9页
The study on alternative combination rules in Dempster- Shafer theory (DST) when evidences are in conflict has emerged again recently as an interesting topic, especially in data/information fusion applications. The ... The study on alternative combination rules in Dempster- Shafer theory (DST) when evidences are in conflict has emerged again recently as an interesting topic, especially in data/information fusion applications. The earlier researches have mainly focused on investigating the alternative which would be appropriate for the conflicting situation, under the assumption that a conflict is identified. However, the current research shows that not only the combination rule but also the classical conflict coefficient in DST are not correct to determine the conflict degree between two pieces of evidences. Most existing methods of measuring conflict do not consider the open world situation, whose frame of discernment is incomplete. To solve this problem, a new conflict representa- tion model to determine the conflict degree between evidences is proposed in the generalized power space, which contains two parameters: the conflict distance and the conflict coefficient of inconsistent evidences. This paper argues that only when the con- flict measure value in the new representation model is high, it is safe to say the evidences are in conflict. Experiments illustrate the efficiency of the proposed conflict representation model. 展开更多
关键词 Dezert-Smarandache theory (DSmT) conflict evidence dempster rule of combination information fusion.
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Using the Dempster-Shafer Theory of Evidence to Rank Documents 被引量:1
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作者 Jiuling Zhang Beixing Deng Xing Li 《Tsinghua Science and Technology》 EI CAS 2012年第3期241-247,共7页
Multi-source information can be utilized collaboratively to improve the performance of information retrieval. To make full use of the document and collection information, this paper introduces a new informa- tion retr... Multi-source information can be utilized collaboratively to improve the performance of information retrieval. To make full use of the document and collection information, this paper introduces a new informa- tion retrieval model that relies on the Dempster-Shafer theory of evidence. Each query-document pair is taken as a piece of evidence for the relevance between a document and a query. The evidence is combined using Dempster's rule of combination, and the belief committed to the relevance is obtained. Retrieved documents are then ranked according to the belief committed to the relevance. Several basic probability as- signments are also proposed. Extensive experiments over the Text REtrieval Conference (TREC) test col- lection ClueWeb09 show that the proposed model provides performance similar to that of the Vector Space Model (VSM). Under certain probability assignments, the proposed model outperforms the VSM by 63% in terms of mean average precision, 展开更多
关键词 dempster-Shafer theory of evidence basic probability assignment dempster's rule of combination
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