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Expert　system　for　earthquake　prediction（ESEP）（2）－Knowledge　representation　and　evidence　combination

Earthquake Science 1994年第S1期7卷 23-29页

作者：范洪顺王碧泉

This paper deals with knowledge representation of ESEP (Expert System for Earthqauke Prediction). Attending the characteristics of the knowledge in earthquake prediction domain, production representation and procedural representation are connected in the knowledge repesentation model of ESEP named ESEP/K, and three new ways of evidence conbination are proposed for production rules besides 'AND' and 'OR'.

关键词： expert system ESEP knowledge representation evidence combination earthquake prediction

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An ECR-PCR rule for fusion of evidences defined on a non-exclusive framework of discernment

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Chinese Journal of Aeronautics 2022年第8期35卷 179-192页

作者： Xinyang DENG Yebi CUI Wen JIANG School of Electronics and Information Northwestern Polytechnical UniversityXi’an 710072China

In the research of uncertain information processing,Dempster-Shafer Theory(DST)provides a framework for dealing with uncertain information,where evidence is defined on a Frame of Discernment(FOD)consisting of mutually exclusive ***,the requirement of exclusiveness on FOD sometimes is not satisfied,as shown in Dezert-Smarandache Theory(DSm T),a derivative of *** DSm T,the non-exclusiveness is expressed by propositions’intersection and the fusion of evidence is realized through a Proportional Conflict Redistribution(PCR)*** order to handle non-exclusive FODs,a new framework called D Number Theory(DNT)has been proposed recently,which quantifies the non-exclusive degree between propositions different from DSm *** previous studies,an Exclusive Conflict Redistribution(ECR)rule has been designed in DNT to implement the fusion of evidence defined on a non-exclusive FOD,but there are some deficiencies in the ECR *** this paper,a new rule called ECR-PCR rule is proposed by combining the ECR and PCR rules to better implement the fusion of evidence defined on a nonexclusive *** the proposed rule,the definition of conflict utilizes the idea of ECR’s exclusive conflict,and the disposal of conflict is following the idea of PCR’s proportional *** of the ECR-PCR rule are *** effectiveness of the proposed new rule is verified through numerical examples and applications,in comparison with other fusion methods.

关键词： D number theory Dempster-Shafer theory evidence combination Non-exclusiveness Proportional Conflict Redistribution rule Information fusion

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CLASSIFIER FUSION BASED ON evidence THEORY AND ITS APPLICATION IN FACE RECOGNITION

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Journal of Electronics(China) 2009年第6期26卷 771-776页

作者： Yang Yi Han Chongzhao Han Deqiang Institute of Integrated Automation Xi＇an Jiaotong University Xi＇an 710049 China

A multiple classifier fusion approach based on evidence combination is proposed in this paper. The individual classifier is designed based on a refined Nearest Feature Line (NFL),which is called Center-based Nearest Neighbor (CNN). CNN retains the advantages of NFL while it has relatively low computational cost. Different member classifiers are trained based on different feature spaces respectively. Corresponding mass functions can be generated based on proposed mass function determination approach. The classification decision can be made based on the combined evidence and better classification performance can be expected. Experimental results on face recognition provided verify that the new approach is rational and effective.

关键词： Nearest Feature Line (NFL) evidence combination Classifier fusion Face recognition

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