共被期刊论文引用了2次
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| 1 | 基于幂Pignistic概率距离的加权证据组合方法显示文摘针对现有的相似性/相异性测度在量化证据冲突时存在的不足,定义一种新的被称为幂Pignistic概率距离的相异性测度,并提出基于幂Pignistic概率距离的加权证据组合方法。该方法通过幂Pignistic概率距离量化两证据之间的冲突程度,然后建立相似性矩阵并求得各证据的可信度,再用加权平均法修正证据,最后利用Dempster规则进行组合。数值算例的结果表明,所提方法是合理有效的。 | 朱京伟 王晓丹 宋亚飞 黄文龙 | 2018 | 通信学报2018，39，1： | 5 |
| 2 | Ordered proposition fusion based on consistency and uncertainty measurements显示文摘The fusion of ordered propositions is an important and widespread problem in artificial intelligence,but existing fusion methods have difficulty handling the fusion of ordered propositions. In this paper, we propose a solution based on consistency and uncertainty measurements. The main contributions of this paper are as follows. First, we propose the concept of convexity degree, mean, and center of basic support function to comprehensively describe the basic support function of ordered propositions. Second, we introduce entropy as a measure of uncertainty in the basic support function of ordered propositions. Third, we generalize the indeterminacy of the basic support function and propose a novel method to measure the consistency between two basic support functions. Finally, based on the above researches, we propose a novel algorithm for fusing ordered propositions. Theoretical analysis and experimental results demonstrate that the proposed method outperforms state-of-the-art methods. | Dayou LIU Yungang ZHU Ni NI Jie LIU | 2017 | Science China(Information Sciences)2017，60，8： | 1 |
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