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Application of seismic multi-attribute fusion method based on D-S evidence theory in prediction of CBM-enriched area 被引量:1
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作者 祁雪梅 张绍聪 《Applied Geophysics》 SCIE CSCD 2012年第1期80-86,116,117,共9页
D-S evidence theory provides a good approach to fuse uncertain inlbrmation. In this article, we introduce seismic multi-attribute fusion based on D-S evidence theory to predict the coalbed methane (CBM) concentrated... D-S evidence theory provides a good approach to fuse uncertain inlbrmation. In this article, we introduce seismic multi-attribute fusion based on D-S evidence theory to predict the coalbed methane (CBM) concentrated areas. First, we choose seismic attributes that are most sensitive to CBM content changes with the guidance of CBM content measured at well sites. Then the selected seismic attributes are fused using D-S evidence theory and the fusion results are used to predict CBM-enriched area. The application shows that the predicted CBM content and the measured values are basically consistent. The results indicate that using D-S evidence theory in seismic multi-attribute fusion to predict CBM-enriched areas is feasible. 展开更多
关键词 d-s evidence theory CBM seismic attributes thsion
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Fault diagnosis method of hydraulic system based on fusion of neural network and D-S evidence theory 被引量:2
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作者 LIU Bao-jie YANG Qing-wen WU Xiang 《Journal of Measurement Science and Instrumentation》 CAS CSCD 2016年第4期368-374,共7页
According to fault type diversity and fault information uncertainty problem of the hydraulic driven rocket launcher servo system(HDRLSS) , the fault diagnosis method based on the evidence theory and neural network e... According to fault type diversity and fault information uncertainty problem of the hydraulic driven rocket launcher servo system(HDRLSS) , the fault diagnosis method based on the evidence theory and neural network ensemble is proposed. In order to overcome the shortcomings of the single neural network, two improved neural network models are set up at the com-mon nodes to simplify the network structure. The initial fault diagnosis is based on the iron spectrum data and the pressure, flow and temperature(PFT) characteristic parameters as the input vectors of the two improved neural network models, and the diagnosis result is taken as the basic probability distribution of the evidence theory. Then the objectivity of assignment is real-ized. The initial diagnosis results of two improved neural networks are fused by D-S evidence theory. The experimental results show that this method can avoid the misdiagnosis of neural network recognition and improve the accuracy of the fault diagnosis of HDRLSS. 展开更多
关键词 multi sensor information fusion fault diagnosis d-s evidence theory BP neural network
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A Heterogeneous Information Fusion Method for Maritime Radar and AIS Based on D-S Evidence Theory
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作者 Chao Wu Qing Wu +1 位作者 Feng Ma Shuwu Wang 《Engineering(科研)》 2023年第12期821-842,共22页
Maritime radar and automatic identification systems (AIS), which are essential auxiliary equipment for navigation safety in the shipping industry, have played significant roles in maritime safety supervision. However,... Maritime radar and automatic identification systems (AIS), which are essential auxiliary equipment for navigation safety in the shipping industry, have played significant roles in maritime safety supervision. However, in practical applications, the information obtained by a single device is limited, and it is necessary to integrate the information of maritime radar and AIS messages to achieve better recognition effects. In this study, the D-S evidence theory is used to fusion the two kinds of heterogeneous information: maritime radar images and AIS messages. Firstly, the radar image and AIS message are processed to get the targets of interest in the same coordinate system. Then, the coordinate position and heading of targets are chosen as the indicators for judging target similarity. Finally, a piece of D-S evidence theory based on the information fusion method is proposed to match the radar target and the AIS target of the same ship. Particularly, the effectiveness of the proposed method has been validated and evaluated through several experiments, which proves that such a method is practical in maritime safety supervision. 展开更多
关键词 d-s evidence theory Heterogeneous Information fusion Radar Image AIS Message
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Risk assessment of water security in Haihe River Basin during drought periods based on D-S evidence theory 被引量:7
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作者 Qian-jin DONG Xia LIU 《Water Science and Engineering》 EI CAS CSCD 2014年第2期119-132,共14页
The weights of the drought risk index (DRI), which linearly combines the reliability, resiliency, and vulnerability, are difficult to obtain due to complexities in water security during drought periods. Therefore, d... The weights of the drought risk index (DRI), which linearly combines the reliability, resiliency, and vulnerability, are difficult to obtain due to complexities in water security during drought periods. Therefore, drought entropy was used to determine the weights of the three critical indices. Conventional simulation results regarding the risk load of water security during drought periods were often regarded as precise. However, neither the simulation process nor the DRI gives any consideration to uncertainties in drought events. Therefore, the Dempster-Shafer (D-S) evidence theory and the evidential reasoning algorithm were introduced, and the DRI values were calculated with consideration of uncertainties of the three indices. The drought entropy and evidential reasoning algorithm were used in a case study of the Haihe River Basin to assess water security risks during drought periods. The results of the new DRI values in two scenarios were compared and analyzed. It is shown that the values of the DRI in the D-S evidence algorithm increase slightly from the original results of Zhang et al. (2005), and the results of risk assessment of water security during drought periods are reasonable according to the situation in the study area. This study can serve as a reference for further practical application and planning in the Haihe River Basin, and other relevant or similar studies. 展开更多
关键词 risk assessment water security drought periods entropy d-s evidence theory evidential reasoning algorithm Haihe River Basin
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Large Power Transformer Fault Diagnosis and Prognostic Based on DBNC and D-S Evidence Theory 被引量:3
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作者 Gang Li Changhai Yu +3 位作者 Hui Fan Shuguo Gao Yu Song Yunpeng Liu 《Energy and Power Engineering》 2017年第4期232-239,共8页
Power transformer is a core equipment of power system, which undertakes the important functions of power transmission and transformation, and its safe and stable operation has great significance to the normal operatio... Power transformer is a core equipment of power system, which undertakes the important functions of power transmission and transformation, and its safe and stable operation has great significance to the normal operation of the whole power system. Due to the complex structure of the transformer, the use of single information for condition-based maintenance (CBM) has certain limitations, with the help of advanced sensor monitoring and information fusion technology, multi-source information is applied to the prognostic and health management (PHM) of power transformer, which is an important way to realize the CBM of power transformer. This paper presents a method which combine deep belief network classifier (DBNC) and D-S evidence theory, and it is applied to the PHM of the large power transformer. The experimental results show that the proposed method has a high correct rate of fault diagnosis for the power transformer with a large number of multi-source data. 展开更多
关键词 Power Transformer PROGNOSTIC and Health Management (PHM) Deep BELIEF Network CLASSIFIER (DBNC) d-s evidence theory
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EARLY WARNING MODEL OF NETWORK INTRUSION BASED ON D-S EVIDENCE THEORY 被引量:1
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作者 TianJunfeng ZhaiJianqiang DuRuizhong HuangJiancai 《Journal of Electronics(China)》 2005年第3期261-267,共7页
Application of data fusion technique in intrusion detection is the trend of next- generation Intrusion Detection System (IDS). In network security, adopting security early warn- ing technique is feasible to effectivel... Application of data fusion technique in intrusion detection is the trend of next- generation Intrusion Detection System (IDS). In network security, adopting security early warn- ing technique is feasible to effectively defend against attacks and attackers. To do this, correlative information provided by IDS must be gathered and the current intrusion characteristics and sit- uation must be analyzed and estimated. This paper applies D-S evidence theory to distributed intrusion detection system for fusing information from detection centers, making clear intrusion situation, and improving the early warning capability and detection efficiency of the IDS accord- ingly. 展开更多
关键词 Intrusion detection Early warning Data fusion d-s evidence theory
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Ubiquitous Computing Identity Authentication Mechanism Based on D-S Evidence Theory and Extended SPKI/SDSI 被引量:1
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作者 孙道清 曹奇英 《Journal of Donghua University(English Edition)》 EI CAS 2008年第5期564-570,共7页
Ubiquitous computing systems typically have lots of security problems in the area of identity authentication by means of classical PKI methods. The limited computing resources, the disconnection network, the classific... Ubiquitous computing systems typically have lots of security problems in the area of identity authentication by means of classical PKI methods. The limited computing resources, the disconnection network, the classification requirements of identity authentication, the requirement of trust transfer and cross identity authentication, the bi-directional identity authentication, the security delegation and the simple privacy protection etc are all these unsolved problems. In this paper, a new novel ubiquitous computing identity authentication mechanism, named UCIAMdess, is presented. It is based on D-S Evidence Theory and extended SPKI/SDSI. D-S Evidence Theory is used in UCIAMdess to compute the trust value from the ubiquitous computing environment to the principal or between the different ubiquitous computing environments. SPKI-based authorization is expanded by adding the trust certificate in UCIAMdess to solve above problems in the ubiquitous computing environments. The identity authentication mechanism and the algorithm of certificate reduction are given in the paper to solve the multi-levels trust-correlative identity authentication problems. The performance analyses show that UCIAMdess is a suitable security mechanism in solving the complex ubiquitous computing problems. 展开更多
关键词 ubiquitous computing identity authentication mechanism d-s evidence theory SPKI/SDSI SECURITY
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Fault Isolation of Light Rail Vehicle Suspension System Based on D-S Evidence Theory and Improvement Application Case 被引量:1
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作者 Xiukun Wei Kun Guo +2 位作者 Limin Jia Guangwu Liu Minzheng Yuan 《Journal of Intelligent Learning Systems and Applications》 2013年第4期245-253,共9页
This paper presents an innovative approach for the fault isolation of Light Rail Vehicle (LRV) suspension system based on the Dempster-Shafer (D-S) evidence theory and its improvement application case. The considered ... This paper presents an innovative approach for the fault isolation of Light Rail Vehicle (LRV) suspension system based on the Dempster-Shafer (D-S) evidence theory and its improvement application case. The considered LRV has three rolling stocks and each one equips three sensors for monitoring the suspension system. A Kalman filter is applied to generate the residuals for fault diagnosis. For the purpose of fault isolation, a fault feature database is built in advance. The Eros and the norm distance between the fault feature of the new occurred fault and the one in the feature database are applied to measure the similarity of the feature which is the basis for the basic belief assignment to the fault, respectively. After the basic belief assignments are obtained, they are fused by using the D-S evidence theory. The fusion of the basic belief assignments increases the isolation accuracy significantly. The efficiency of the proposed method is demonstrated by two case studies. 展开更多
关键词 SUSPENSION System FAULT ISOLATION d-s evidence theory Information fusion SIMILARITY Measurement
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Study on Power Transformers Fault Diagnosis Based on Wavelet Neural Network and D-S Evidence Theory
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作者 LIANG Liu-ming CHEN Wei-gen +2 位作者 YUE Yan-feng WEI Chao YANG Jian-feng 《高电压技术》 EI CAS CSCD 北大核心 2008年第12期2694-2700,共7页
>Transformer faults are quite complicated phenomena and can occur due to a variety of reasons.There have been several methods for transformer fault synthetic diagnosis,but each of them has its own limitations in re... >Transformer faults are quite complicated phenomena and can occur due to a variety of reasons.There have been several methods for transformer fault synthetic diagnosis,but each of them has its own limitations in real fault diagnosis applications.In order to overcome those shortcomings in the existing methods,a new transformer fault diagnosis method based on a wavelet neural network optimized by adaptive genetic algorithm(AGA)and an improved D-S evidence theory fusion technique is proposed in this paper.The proposed method combines the oil chromatogram data and the off-line electrical test data of transformers to carry out fault diagnosis.Based on the fusion mechanism of D-S evidence theory,the comprehensive reliability of evidence is constructed by considering the evidence importance,the outputs of the neural network and the expert experience.The new method increases the objectivity of the basic probability assignment(BPA)and reduces the basic probability assigned for uncertain and unimportant information.The case study results of using the proposed method show that it has a good performance of fault diagnosis for transformers. 展开更多
关键词 小波神经网络 d-s证据理论 电力变压器 故障诊断 适应基因算法
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Application of evidence theory in information fusion of multiple sources in bayesian analysis 被引量:4
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作者 周忠宝 蒋平 武小悦 《Journal of Harbin Institute of Technology(New Series)》 EI CAS 2004年第4期461-463,共3页
How to obtain proper prior distribution is one of the most critical problems in Bayesian analysis. In many practical cases, the prior information often comes from different sources, and the prior distribution form cou... How to obtain proper prior distribution is one of the most critical problems in Bayesian analysis. In many practical cases, the prior information often comes from different sources, and the prior distribution form could be easily known in some certain way while the parameters are hard to determine. In this paper, based on the evidence theory, a new method is presented to fuse the information of multiple sources and determine the parameters of the prior distribution when the form is known. By taking the prior distributions which result from the information of multiple sources and converting them into corresponding mass functions which can be combined by Dempster-Shafer (D-S) method, we get the combined mass function and the representative points of the prior distribution. These points are used to fit with the given distribution form to determine the parameters of the prior distribution. And then the fused prior distribution is obtained and Bayesian analysis can be performed. How to convert the prior distributions into mass functions properly and get the representative points of the fused prior distribution is the central question we address in this paper. The simulation example shows that the proposed method is effective. 展开更多
关键词 Bayesian analysis evidence theory d-s method information fusion
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A Digital Evidence Fusion Method in Network Forensics Systems with Dempster-Shafer Theory 被引量:2
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作者 TIAN Zhihong JIANG Wei +1 位作者 LI Yang DONG Lan 《China Communications》 SCIE CSCD 2014年第5期91-97,共7页
Network intrusion forensics is an important extension to present security infrastructure,and is becoming the focus of forensics research field.However,comparison with sophisticated multi-stage attacks and volume of se... Network intrusion forensics is an important extension to present security infrastructure,and is becoming the focus of forensics research field.However,comparison with sophisticated multi-stage attacks and volume of sensor data,current practices in network forensic analysis are to manually examine,an error prone,labor-intensive and time consuming process.To solve these problems,in this paper we propose a digital evidence fusion method for network forensics with Dempster-Shafer theory that can detect efficiently computer crime in networked environments,and fuse digital evidence from different sources such as hosts and sub-networks automatically.In the end,we evaluate the method on well-known KDD Cup1999 dataset.The results prove our method is very effective for real-time network forensics,and can provide comprehensible messages for a forensic investigators. 展开更多
关键词 network forensics security dempster-shafer theory digital evidence fusion
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A novel adaptive temporal-spatial information fusion model based on Dempster-Shafer evidence theory
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作者 胡振涛 SU Yujie ZHANG Zihan 《High Technology Letters》 EI CAS 2023年第4期358-364,共7页
In the field of target recognition based on the temporal-spatial information fusion,evidence the-ory has received extensive attention.To achieve accurate and efficient target recognition by the evi-dence theory,an ada... In the field of target recognition based on the temporal-spatial information fusion,evidence the-ory has received extensive attention.To achieve accurate and efficient target recognition by the evi-dence theory,an adaptive temporal-spatial information fusion model is proposed.Firstly,an adaptive evaluation correction mechanism is constructed by the evidence distance and Deng entropy,which realizes the credibility discrimination and adaptive correction of the spatial evidence.Secondly,the credibility decay operator is introduced to obtain the dynamic credibility of temporal evidence.Finally,the sequential combination of temporal-spatial evidences is achieved by Shafer’s discount criterion and Dempster’s combination rule.The simulation results show that the proposed method not only considers the dynamic and sequential characteristics of the temporal-spatial evidences com-bination,but also has a strong conflict information processing capability,which provides a new refer-ence for the field of temporal-spatial information fusion. 展开更多
关键词 temporal-spatial information fusion evidence theory Deng entropy evidence dis-tance credibility decay model
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Belief exponential divergence for D-S evidence theory and its application in multi-source information fusion
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作者 DUAN Xiaobo FAN Qiucen +1 位作者 BI Wenhao ZHANG An 《Journal of Systems Engineering and Electronics》 2024年第6期1454-1468,共15页
Dempster-Shafer evidence theory is broadly employed in the research of multi-source information fusion.Nevertheless,when fusing highly conflicting evidence it may pro-duce counterintuitive outcomes.To address this iss... Dempster-Shafer evidence theory is broadly employed in the research of multi-source information fusion.Nevertheless,when fusing highly conflicting evidence it may pro-duce counterintuitive outcomes.To address this issue,a fusion approach based on a newly defined belief exponential diver-gence and Deng entropy is proposed.First,a belief exponential divergence is proposed as the conflict measurement between evidences.Then,the credibility of each evidence is calculated.Afterwards,the Deng entropy is used to calculate information volume to determine the uncertainty of evidence.Then,the weight of evidence is calculated by integrating the credibility and uncertainty of each evidence.Ultimately,initial evidences are amended and fused using Dempster’s rule of combination.The effectiveness of this approach in addressing the fusion of three typical conflict paradoxes is demonstrated by arithmetic exam-ples.Additionally,the proposed approach is applied to aerial tar-get recognition and iris dataset-based classification to validate its efficacy.Results indicate that the proposed approach can enhance the accuracy of target recognition and effectively address the issue of fusing conflicting evidences. 展开更多
关键词 Dempster-Shafer(d-s)evidence theory multi-source information fusion conflict measurement belief expo-nential divergence(BED) target recognition
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D-S证据理论在空中目标识别中的应用现状与展望
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作者 余付平 黄益恒 +2 位作者 沈堤 李靖宇 房瑞跃 《电光与控制》 CSCD 北大核心 2024年第4期75-86,共12页
D-S证据理论作为一种多源信息融合工具,在空中目标识别领域中得到了广泛应用。对D-S证据理论进行了概述;简要梳理了D-S证据理论在空中目标识别领域中的发展脉络,并提出应用中需要解决的三类关键问题;围绕上述问题,重点对该领域中的BPA... D-S证据理论作为一种多源信息融合工具,在空中目标识别领域中得到了广泛应用。对D-S证据理论进行了概述;简要梳理了D-S证据理论在空中目标识别领域中的发展脉络,并提出应用中需要解决的三类关键问题;围绕上述问题,重点对该领域中的BPA获取、证据冲突度量、证据融合的应用现状进行综述;最后,基于空域控制视角,对D-S证据理论在该领域中的应用进行了展望。研究可为空中目标识别领域的理论发展和工程应用提供参考。 展开更多
关键词 空中目标识别 d-s证据理论 BPA 证据冲突 证据融合
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基于D-S证据理论的农作物气候品质预测方法研究:以晚熟杂交柑橘春见为例
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作者 付世军 李梦 +6 位作者 杨晓兵 何震 袁佳阳 刘书慧 徐越 卢德全 张利平 《贵州农业科学》 CAS 2024年第5期122-132,共11页
【目的】基于多源气象数据构建果实品质(糖含量等级)预测模型,为科学评价果实气候品质及深入挖掘农产品气候资源提供科学依据。【方法】以晚熟柑橘春见果实为研究对象,利用多源数据融合技术、人工神经网络(BP神经网络、RBF神经网络和El... 【目的】基于多源气象数据构建果实品质(糖含量等级)预测模型,为科学评价果实气候品质及深入挖掘农产品气候资源提供科学依据。【方法】以晚熟柑橘春见果实为研究对象,利用多源数据融合技术、人工神经网络(BP神经网络、RBF神经网络和Elman神经网络)和D-S证据理论,包括气象数据质量控制、特征选取、特征级融合、决策级融合4个步骤,构建基于多源气象数据的果实品质(糖含量等级)预测模型。【结果】春见果实品质预测模型采用BP神经网络预测结果总体准确率为87.50%,平均绝对误差(MAE)为0.150,均方根误差(RMSE)为0.447;RBF神经网络预测结果总体准确率为85.00%,MAE为0.175,RMSE为0.474;Elman神经网络预测结果总体准确率为87.50%,MAE为0.150,RMSE为0.447;D-S证据理论决策融合总体预测准确率达95.20%,分别较BP神经网络、RBF神经网络和Elman神经网络提升7.7百分点、10.2百分点和7.7百分点,MAE和RMSE分别为0.040和0.214,均明显降低。【结论】D-S证据理论决策融合后的果实品质预测准确率相比单一神经网络预测更高、误差更小。 展开更多
关键词 晚熟柑橘 春见 气候品质 多源数据融合 BP神经网络 RBF神经网络 ELMAN神经网络 d-s证据理论
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基于加权D-S证据理论的旋翼故障诊断
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作者 高亚东 张传壮 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI CSCD 2024年第1期66-75,共10页
旋翼作为直升机的升力面和操作面,其健康状态对直升机的安全至关重要。旋翼故障诊断技术仍是直升机健康与使用监测系统(Health and usage monitoring system, HUMS)领域的薄弱环节,开发旋翼故障诊断技术具有重要价值。基于信息融合技术... 旋翼作为直升机的升力面和操作面,其健康状态对直升机的安全至关重要。旋翼故障诊断技术仍是直升机健康与使用监测系统(Health and usage monitoring system, HUMS)领域的薄弱环节,开发旋翼故障诊断技术具有重要价值。基于信息融合技术,首先分析了旋翼故障的诊断机理,建立了旋翼故障模型,通过流固耦合仿真获取了不同故障下桨叶、轮毂和机身的故障特征信息,生成数据集进行网络训练和验证。然后,利用遗传算法反向传播(Genetic algorithm-backpropagation, GA-BP)优化神经网络诊断3种类型的直升机旋翼故障,即后缘调整片误调、变距拉杆误调和桨叶质量不平衡。3个逐级神经网络分别对旋翼故障类型、故障位置和故障程度进行了诊断识别。最后采用加权的Dempster-Shafer(D-S)证据理论对旋翼故障进行诊断和分析。结果证明基于改进D-S证据理论的旋翼故障诊断方法能够成功应用到旋翼故障诊断中,并具有良好的识别效果。 展开更多
关键词 旋翼系统 故障诊断 GA-BP神经网络 信息融合技术 d-s证据理论
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改进YOLOv7-tiny与D-S理论结合的实验室人员行为检测研究
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作者 杨永亮 曹敏 +4 位作者 徐凌桦 王霄 杨靖 王涛 冯平平 《现代电子技术》 北大核心 2024年第19期153-160,共8页
针对目前实验室场景缺少对人员行为检测的方法,且主流算法精度低、误检率高的问题,文中提出一种改进YOLOv7-tiny的人员行为检测算法,并通过多源信息融合,提高人员行为在实际实验室场景中的识别准确率。首先,在检测算法主干网络引入Ghost... 针对目前实验室场景缺少对人员行为检测的方法,且主流算法精度低、误检率高的问题,文中提出一种改进YOLOv7-tiny的人员行为检测算法,并通过多源信息融合,提高人员行为在实际实验室场景中的识别准确率。首先,在检测算法主干网络引入GhostNetV2轻量化网络,进一步降低模型计算量和复杂度;其次,在颈部网络嵌入改进后的CBAM_E注意力模块,加强目标重要特征的提取;再次,在预测端使用SIoU替换原有的损失函数,减少角度因素和边界框回归精度的影响。检测结果表明,相较于YOLOv7-tiny,文中算法精度提升10.08%,模型参数量和复杂度分别下降36.45%和46.76%。最后通过将检测数据与传感器采集数据运用D-S证据理论进行信息融合后发现,人员不规范行为检测的误检率得到有效降低。结果表明,该方法可实现对实验室人员不规范行为的有效检测。 展开更多
关键词 实验室场景 人员行为 YOLOv7-tiny 轻量化网络 注意力模块 损失函数 d-s证据理论 信息融合
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基于改进D-S证据理论的毫米波雷达与摄像头融合目标检测和识别 被引量:2
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作者 刘锦涛 谭柱华 高正浩 《河北工业大学学报》 CAS 2024年第1期11-20,34,共11页
随着汽车保有量的增加和交通环境的日益复杂,汽车行驶安全性和交通事故发生率成为交通安全领域内重点关注的问题,通过智能辅助驾驶技术可以有效提升驾驶安全和降低交通事故发生率。为了提高智能驾驶辅助技术中环境感知的可靠性,提出了... 随着汽车保有量的增加和交通环境的日益复杂,汽车行驶安全性和交通事故发生率成为交通安全领域内重点关注的问题,通过智能辅助驾驶技术可以有效提升驾驶安全和降低交通事故发生率。为了提高智能驾驶辅助技术中环境感知的可靠性,提出了一种基于改进D-S证据理论的毫米波雷达与摄像头融合目标检测和识别方法。采用皮尔逊相关性系数改进了D-S证据理论,分析了雷达目标类别与雷达探测信息多参数耦合关系,建立了一种毫米波雷达稀疏点云的目标识别方法。在此基础上,对毫米波雷达信息和视觉检测信息进行加权,提升融合算法在不同工况下目标检测的准确性。实验结果表明,融合算法在不同工况下检测准确率达到93.29%,误检率和漏检率得到降低。相较于其他融合检测算法,本算法在视觉传感器发生漏检时,利用雷达检测算法仍可以对视觉漏检目标进行识别并给出相应的置信度。本工作为毫米波雷达与摄像头的数据融合提供了一种新方法。 展开更多
关键词 目标检测 证据理论 传感器融合 毫米波雷达 摄像头
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Improvement method for the combining rule of Dempster-Shaferevidence theory based on reliability 被引量:8
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作者 WangPing YangGenqing 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2005年第2期471-474,F003,共5页
An improvement method for the combining rule of Dempster evidence theory is proposed. Different from Dempster theory, the reliability of evidences isn't identical; and varies with the event. By weight evidence acc... An improvement method for the combining rule of Dempster evidence theory is proposed. Different from Dempster theory, the reliability of evidences isn't identical; and varies with the event. By weight evidence according to their reliability, the effect of unreliable evidence is reduced, and then get the fusion result that is closer to the truth. An example to expand the advantage of this method is given. The example proves that this method is helpful to find a correct result. 展开更多
关键词 data fusion RELIABILITY Dempster-Shafer evidence theory.
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Evidence fusion procedure based on hybrid DSm model 被引量:2
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作者 Hongfei Li Hongbin Jin Kangsheng Tian 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2014年第6期959-967,共9页
Dezert-Smarandache(DSm) theory, a new information fusion theory, is widely applied in image processing, multiple targets tracking identification, and other areas for its excellent processing ability of imperfect inf... Dezert-Smarandache(DSm) theory, a new information fusion theory, is widely applied in image processing, multiple targets tracking identification, and other areas for its excellent processing ability of imperfect information. However, earlier research on DSm theory mainly focused on one sort of questions. An evidence fusion procedure is proposed based on the hybrid DSm model to compensate for a lack of research on the entire information procedure of DSm theory. This paper analyzes the evidence fusion procedure, as well as correlative node input and output information. Key steps and detailed procedures of evidence fusion are also discussed. Finally, an experiment illustrates the efficiency of the proposed evidence fusion procedure. 展开更多
关键词 Dezert-Smarandache(DSm) theory evidence fusion procedure hybrid DSm model information fusion
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