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| 1 | 一种飞机图像目标多特征信息融合识别方法显示文摘提出了一种基于概率神经网络(Probabilistic neural networks,PNN)和DSmT推理(Dezert-Smarandache theory)的飞机图像目标多特征融合识别算法.针对提取的多个图像特征量,利用数据融合的思想对来自图像目标各个特征量提供的信息进行融合处理.首先,对图像进行二值化预处理,并提取Hu矩、归一化转动惯量、仿射不变矩、轮廓离散化参数和奇异值特征5个特征量;其次,针对DSmT理论中信度赋值构造困难的问题,利用PNN网络,构造目标识别率矩阵,通过目标识别率矩阵对证据源进行信度赋值;然后,用DSmT组合规则在决策级层进行融合,从而完成对飞机目标的识别;最后,在目标图像小畸变情形下,将本文提出的图像多特征信息融合方法和单一特征方法进行了对比测试实验,结果表明本文方法在同等条件下正确识别率得到了很大提高,同时达到实时性要求,而且具有有效拒判能力和目标图像尺寸不敏感性.即使在大畸变情况下,识别率也能达到89.3%. | 李新德 杨伟东 DEZERT Jean | 2012 | 自动化学报2012，38，8： | 32 |
| 2 | 一种快速分层递阶DSmT近似推理融合方法(A)显示文摘本文提出了一种分层递阶的DSmT快速近似推理融合方法,该方法针对超幂集空间中仅单子焦元具有信度赋值的情况,利用二叉树或三叉树分组技术对其刚性分组,与此同时,对每个信息源对应的各个分组焦元进行信度赋值求和,以便实现细粒度超幂集空间向粗粒度超幂集空间映射.然后运用DSmT组合规则和比例冲突分配规则对粗化超幂集空间的两个信息源进行融合,保存该融合结果作为父子之间节点连接权值,然后对每个分组焦元信度赋值归一化处理,通过设定树的深度,来确定分层递阶的次数.最后通过从多个角度比较新、老方法,从而充分地验证了新方法的优越性. | 李新德 Jean Dezert 黄心汉 孟正大 吴雪建 | 2010 | 电子学报2010，38，11： | 18 |
| 3 | 一种基于DSmT和HMM的序列飞机目标识别算法显示文摘针对姿态多变化的飞机自动目标识别中的低识别率问题,提出了一种基于DSm T(Dezert-Smarandache theory)与隐马尔可夫模型(Hidden Markov model,HMM)的飞机多特征序列信息融合识别算法(Multiple features and sequential information fusion,MFSIF).其创新性在于将单幅图像的多特征信息融合识别和序列图像信息融合识别进行有机结合.首先,对图像进行二值化预处理,并提取目标的Hu矩和轮廓局部奇异值特征;然后,利用概率神经网络(Probabilistic neural networks,PNN)构造基本信度赋值(Basic belief assignment,BBA);接着,利用DSm T对该图像的不同特征进行融合,从而获得HMM的观察值序列;再接着,利用隐马尔可夫模型对飞机序列信息融合,计算观察值序列与各隐马尔可夫模型之间的相似度,从而实现姿态多变化的飞机目标自动识别;最后,通过仿真实验,验证了该算法在飞机姿态发生较大变化时,依然可以获得较高的正确识别率,同时在实时性方面也可以满足飞机目标识别的要求.另外,在飞机序列发生连续遮挡帧数τ≤6的情况下,也具有较高的飞机目标正确识别率. | 李新德 潘锦东 DEZERT Jean | 2014 | 自动化学报2014，40，12： | 17 |
| 4 | 一种快速分层递阶DSmT近似推理融合方法(B)显示文摘针对Dezert-Smarandache Theory(DSmT),随着鉴别框架中焦元数目的增多,其组合推理运算成指数增长,已成为制约该理论广泛应用与发展的瓶颈问题.为了解决这个难题,本文在进一步深入研究仅单子焦元赋值几个关键问题的基础上,主要针对超幂集空间中部分单子和冲突焦元具有信度赋值的情况,通过比例分配原则,把冲突焦元的信度赋值分配到相应的单子焦元上,然后根据仅单子焦元情形下的近似推理方法进行处理,即利用二叉树分组技术对单子焦元进行刚性分组,实现细粒度超幂集空间向粗粒度超幂集空间映射.最后通过从计算效率、信息损失和相似度的角度分别比较新、老方法,比较结果充分地验证了新方法的优越性. | 李新德 杨伟东 吴雪建 Jean Dezert | 2011 | 电子学报2011，39，A03： | 17 |
| 5 | Combination of Qualitative Information with 2-Tuple Linguistic Representation in DSmT显示文摘Modern systems for information retrieval,fusion and management need to deal more and more with information coming from human experts usually expressed qualitatively in natural language with linguistic labels.In this paper,we propose and use two new 2-Tuple linguistic representation models(i.e.,a distribution function model(DFM) and an improved Herrera-Martínez's model) jointly with the fusion rules developed in Dezert-Smarandache Theory(DSmT),in order to combine efficiently qualitative information expressed in term of qualitative belief functions.The two models both preserve the precision and improve the efficiency of the fusion of linguistic information expressing the global expert's opinion.However, DFM is more general and efficient than the latter,especially for unbalanced linguistic labels.Some simple examples are also provided to show how the 2-Tuple qualitative fusion rules are performed and their advantages. | 李新德 Florentin Smarandache Jean Dezert 戴先中 | 2009 | Journal of Computer Science & Technology2009，24，4： | 5 |
| 6 | 一种快速分层递阶DSmT近似推理融合方法(C)显示文摘针对超幂集空间中部分不确定焦元或者混合焦元具有信度赋值的情形,将混合焦元转化为统一形式;根据纯不确定焦元平分原则进行平分信度赋值,并将新的或固有的冲突焦元的信度赋值分配到相应的单子焦元上;利用二叉树分组技术对单子焦元进行刚性分组,实现细粒度超向粗粒度超幂集空间的映射;运用DSmT组合规则和比例冲突分配规则对粗化超幂集空间的多个信息源进行融合,保存该融合结果作为父子之间节点连接权值;对每个分组焦元信度赋值归一化处理,通过设定树的深度,来确定分层递阶的次数;最后从计算效率、信息损失和相似度的角度分别就新、老方法进行比较,结果验证了新方法的优越性. | 李新德 杨伟东 Jean Dezert | 2011 | 华中科技大学学报(自然科学版)2011，39，S2： | 4 |
| 7 | A new non-specificity measure in evidence theory based on belief intervals显示文摘In the theory of belief functions,the measure of uncertainty is an important concept,which is used for representing some types of uncertainty incorporated in bodies of evidence such as the discord and the non-specificity.For the non-specificity part,some traditional measures use for reference the Hartley measure in classical set theory;other traditional measures use the simple and heuristic function for joint use of mass assignments and the cardinality of focal elements.In this paper,a new non-specificity measure is proposed using lengths of belief intervals,which represent the degree of imprecision.Therefore,it has more intuitive physical meaning.It can be proved that our new measure can be rewritten in a general form for the non-specificity.Our new measure is also proved to be a strict non-specificity measure with some desired properties.Numerical examples,simulations,the related analyses and proofs are provided to show the characteristics and good properties of the new non-specificity definition.An example of an application of the new nonspecificity measure is also presented. | Yang Yi Han Deqian Jean Dezert | 2016 | Chinese Journal of Aeronautics2016，29，3： | 3 |
| 8 | De-combination of belief function based on optimization显示文摘In the theory of belief functions,the evidence combination is a kind of decision-level information fusion.Given two or more Basic Belief Assignments(BBAs)originated from different information sources,the combination rule is used to combine them to expect a better decision result.When only a combined BBA is given and original BBAs are discarded,if one wants to analyze the difference between the information sources,evidence de-combination is needed to determine the original BBAs.Evidence de-combination can be considered as the inverse process of the information fusion.This paper focuses on such a defusion of information in the theory of belief functions.It is an under-determined problem if only the combined BBA is available.In this paper,two optimization-based approaches are proposed to de-combine a given BBA according to the criteria of divergence maximization and information maximization,respectively.The new proposed approaches can be used for two or more information sources.Some numerical examples and an example of application are provided to illustrate and validate our approaches. | Xiaojing FAN Deqiang HAN Yi YANG Jean DEZERT | 2022 | Chinese Journal of Aeronautics2022，35，5： | 2 |
| 9 | 基于ESMS过滤器的信息融合理论研究及SLAM应用显示文摘本文解决了多源信息融合时信息源选择的难题,提出了一种广义的证据支持贴近度过滤器来选择最一致的证据源,并耦合基于DSmT和PCR5的融合机,应用于PioneerII移动机器人的SLAM;通过对运行在虚拟环境中的一个虚拟机器人(自身携带16个Sonar传感器),感知周围环境信息,对有或没有ESMS过滤器两种情况下的环境地图重构效果进行比较,充分验证了ESMS过滤器作为信息融合源选择先决条件的优点。 | 李新德 黄心汉 Jean Dezert | 2006 | 计算机科学2006，33，12： | 2 |
| 10 | A new belief-based K-nearest neighbor classification method显示文摘 | Zhun-ga Liu Quan Pan Jean Dezert | 2013 | Pattern Recognition2013，，3： | 2 |
| 11 | Foundations for a new theory of plausible and paradoxical reasoning显示文摘 | Dezert J | 2002 | Information and Security Journal2002，，： | 1 |
| 12 | An introduction to the theory of plausible and paradoxical reasoning显示文摘 | J Dezert | 2003 | Numerical methods and applications lecture notes in computer science2003，2542，23： | 1 |
| 13 | Foundations for a new theory of plausible and paradoxical reasoning显示文摘 | DEZERT J | 2002 | Inform & Security2002，16，9： | 1 |
| 14 | Foundations for a new theory of plausible and para- doxical reasoning 显示文摘 | Dezert J | 2002 | Information and Security Journal2002，9，： | 1 |
| 15 | New Dis- tance Measures of Evidence Based on Belief Intervals 显示文摘 | HAN Deqiang DEZERT Jean YANG Yi | 2014 | Lecture Notes in Computer Science2014，8764，1： | 1 |
| 16 | Proportional conflict redistribution rules for information fusion 显示文摘 | SMARANDACHE F DEZERT J | 2006 | Applications and Advances of DSmT for Information Fusion2006，2，： | 1 |
| 17 | Foundations for a new theory of plausible and paradoxical reasoning 显示文摘 | DEZERT J | 2002 | Information and security Journal2002，12，1： | 1 |
| 18 | Foundations for a new theory of plausible and paradoxical reasoning显示文摘 | DEZERT J | 2002 | Information and Security2002，9，： | 1 |
| 19 | Microstructural and mechanical characteristics of laser coatings显示文摘 | HIDOUCI A PELLETIER J M DUCOIN F DEZERT D EL GUERJOUNA R | 2000 | Surface & Coatings Technology2000，123，： | 1 |
| 20 | Evidence Supporting Mmeasure of Similarity for Reducing the Complexity in Information Funsion显示文摘 | Xinde Li Jean Dezert Florentin Smarandache | 2011 | Information Sciences2011，，： | 1 |
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