机构地区:[1]Research Institute of Information Fusion, Naval Aeronautical and Astronautical University, Yantai 264001, E R. China [2]Navy Armament Academy, Beijing 102249, P. R. China [3]College of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, E R. China [4]Institute of Integrated Automation, Xi'an Jiaotong University, Xi'an 710049, E R. China [5]School of Electronics and Information Technology, Shanghai Jiaotong University, Shanghai 200240, E R. China
出 处:《Journal of Systems Engineering and Electronics》2012年第1期1-9,共9页系统工程与电子技术(英文版)
基 金:supported by the National Natural Science Foundation of China (60572161; 60874105);the Excellent Ph.D. Paper Author Foundation of China (200443);the Postdoctoral Science Foundation of China (20070421094);the Program for New Century Excellent Talents in University (NCET-08-0345);the Shanghai Rising-Star Program(09QA1402900);the Ministry of Education Key Lab of Intelligent Computing & Signal Processing (2009ICIP03)
摘 要: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.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.
关 键 词:Dezert-Smarandache theory (DSmT) conflict evidence Dempster rule of combination information fusion.
分 类 号:TP391.7[自动化与计算机技术—计算机应用技术] TP242.6[自动化与计算机技术—计算机科学与技术]
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