| 基于信息熵的证据融合方法 |
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| 引用本文： | 赖邦城,吴根秀.基于信息熵的证据融合方法[J].江西师范大学学报(自然科学版),2012,0(5):519-523. |
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| 作者姓名： | 赖邦城 吴根秀 |
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| 作者单位： | 江西师范大学数学与信息科学学院, 江西 南昌 330022；南昌理工学院公共教学部, 江西 南昌330044 |
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| 基金项目： | 江西省教育厅科技(GJJ11384)资助项目 |
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| 摘 要： | 通过引入信息熵和确定性指数概念,利用证据的确定性指数对原始证据进行修正,并对不确定性概率指派重新分配.利用修正后的证据提出了新的融合方法,算例表明此方法能有效处理证据高冲突的融合问题,得出合理的融合结果.
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| 关 键 词： | D-S证据理论 信息熵 确定性指数 |
The Evidence Combination Method Based on Information Entropy |
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| LAI Bang-cheng,WU Gen-xiu.The Evidence Combination Method Based on Information Entropy[J].Journal of Jiangxi Normal University (Natural Sciences Edition),2012,0(5):519-523. |
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| Authors: | LAI Bang-cheng WU Gen-xiu |
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| Institution: | 1(1.College of Mathematics Informatics,Jiangxi Normal University,Nanchang Jiangxi 330022,China 2.Department of Public Teaching,Nanchang Institute of Technology,Nanchang Jiangxi 330044,China) |
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| Abstract: | After introducing the concept of informatics entropy and certainty index, the original evidence is amended by using the evidence certainty index and then the uncertainty probability is reassigned. A new combination formula is given by taking advantage of the revised evidence. Examples indicate that this method can effectively deal with the combination of evidence with high conflict, and come to a reasonable fusion results. |
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| Keywords: | D-S theory of evidence information entropy certainty index |
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