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Comparison of identity fusion algorithms using estimations of confusion matrices 使用混淆矩阵估计的身份融合算法的比较
17th International Conference on Information Fusion (FUSION) Pub Date : 2014-10-07 DOI: 10.5281/ZENODO.22445
G. Golino, A. Graziano, A. Farina, W. Mellano, F. Ciaramaglia
{"title":"Comparison of identity fusion algorithms using estimations of confusion matrices","authors":"G. Golino, A. Graziano, A. Farina, W. Mellano, F. Ciaramaglia","doi":"10.5281/ZENODO.22445","DOIUrl":"https://doi.org/10.5281/ZENODO.22445","url":null,"abstract":"Scope of this paper is to investigate the performances of different identity declaration fusion algorithms in terms of probability of correct classification, supposing that the information for combination of the inferences from the different classifier is affected by measurement errors. In particular, these information have been assumed to be provided in the form of confusion matrices. Six identity fusion algorithms from literature with different complexity have been included in the comparison: heuristic methods such as voting and Borda Count, Bayes' and Dempster-Shafer's methods and the Proportional Redistribution Rule n° 1 in the Dempster-Shafer's framework.","PeriodicalId":136004,"journal":{"name":"17th International Conference on Information Fusion (FUSION)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122920968","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
False information injection attack on dynamic state estimation in multi-sensor systems 多传感器系统动态估计中的假信息注入攻击
17th International Conference on Information Fusion (FUSION) Pub Date : 2014-07-07 DOI: 10.25772/DAAT-6210
Jingyang Lu, R. Niu
{"title":"False information injection attack on dynamic state estimation in multi-sensor systems","authors":"Jingyang Lu, R. Niu","doi":"10.25772/DAAT-6210","DOIUrl":"https://doi.org/10.25772/DAAT-6210","url":null,"abstract":"In this paper, the impact of false information injection is investigated for linear dynamic systems with multiple sensors. It is assumed that the system is unaware of the existence of false information and the adversary is trying to maximize the negative effect of the false information on the Kalman filter's estimation performance. We mathematically characterize the false information attack under different conditions. For the adversary, many closed-form results for the optimal attack strategies that maximize the Kalman filter's estimation error are theoretically derived. It is shown that by choosing the optimal correlation coefficients among the bias noises, and allocating power optimally among sensors, the adversary could significantly increase the Kalman filter's estimation errors. To be concrete, a multi-sensor target tracking system with either position sensors or position and velocity sensors has been used as an example to illustrate the theoretical results.","PeriodicalId":136004,"journal":{"name":"17th International Conference on Information Fusion (FUSION)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132766240","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 22
Can we trust subjective logic for information fusion? 我们能相信信息融合的主观逻辑吗?
17th International Conference on Information Fusion (FUSION) Pub Date : 2014-07-07 DOI: 10.5281/ZENODO.22865
J. Dezert, A. Tchamova, Deqiang Han, J. Tacnet
{"title":"Can we trust subjective logic for information fusion?","authors":"J. Dezert, A. Tchamova, Deqiang Han, J. Tacnet","doi":"10.5281/ZENODO.22865","DOIUrl":"https://doi.org/10.5281/ZENODO.22865","url":null,"abstract":"In this paper, we provide a deep examination of the main bases of Subjective Logic (SL) and reveal serious problems with them. A new interesting alternative way for building a normal coarsened basic belief assignment from a refined one is also proposed. The defects in the SL fusion rule and the problems in the link between opinion and Beta probability density functions are also analyzed. Some numerical examples and related analyses are provided to justify our viewpoints.","PeriodicalId":136004,"journal":{"name":"17th International Conference on Information Fusion (FUSION)","volume":"183 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124615747","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
New distance and similarity measures of interval neutrosophic sets 区间嗜中性集的新距离和相似测度
17th International Conference on Information Fusion (FUSION) Pub Date : 2014-07-07 DOI: 10.6084/M9.FIGSHARE.1502585.V1
S. Broumi, F. Smarandache
{"title":"New distance and similarity measures of interval neutrosophic sets","authors":"S. Broumi, F. Smarandache","doi":"10.6084/M9.FIGSHARE.1502585.V1","DOIUrl":"https://doi.org/10.6084/M9.FIGSHARE.1502585.V1","url":null,"abstract":"In this paper we proposed a new distance and several similarity measures between interval neutrosophic sets.","PeriodicalId":136004,"journal":{"name":"17th International Conference on Information Fusion (FUSION)","volume":"239 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122911287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 55
Evaluations of evidence combination rules in terms of statistical sensitivity and divergence 从统计敏感性和散度方面评价证据组合规则
17th International Conference on Information Fusion (FUSION) Pub Date : 2014-07-07 DOI: 10.5281/ZENODO.22461
Deqiang Han, J. Dezert, Yi Yang
{"title":"Evaluations of evidence combination rules in terms of statistical sensitivity and divergence","authors":"Deqiang Han, J. Dezert, Yi Yang","doi":"10.5281/ZENODO.22461","DOIUrl":"https://doi.org/10.5281/ZENODO.22461","url":null,"abstract":"The theory of belief functions is one of the most important tools in information fusion and uncertainty reasoning. Dempster's rule of combination and its related modified versions are used to combine independent pieces of evidence. However, until now there is still no solid evaluation criteria and methods for these combination rules. In this paper, we look on the evidence combination as a procedure of estimation and then we propose a set of criteria to evaluate the sensitivity and divergence of different combination rules by using for reference the mean square error (MSE), the bias and the variance. Numerical examples and simulations are used to illustrate our proposed evaluation criteria. Related analyses are also provided.","PeriodicalId":136004,"journal":{"name":"17th International Conference on Information Fusion (FUSION)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126155438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 8
An alternative combination rule for evidential reasoning 证据推理的可选组合规则
17th International Conference on Information Fusion (FUSION) Pub Date : 2014-07-07 DOI: 10.5281/ZENODO.22859
Faouzi Sebbak, F. Benhammadi, M'hamed Mataoui, Sofiane Bouznad, Y. Amirat
{"title":"An alternative combination rule for evidential reasoning","authors":"Faouzi Sebbak, F. Benhammadi, M'hamed Mataoui, Sofiane Bouznad, Y. Amirat","doi":"10.5281/ZENODO.22859","DOIUrl":"https://doi.org/10.5281/ZENODO.22859","url":null,"abstract":"In order to have a normal behavior in combination of bodies of evidence, this paper proposes a new combination rule. This rule includes the cardinality of focal set elements in conjunctive operation and the conflict redistribution to all steps. Based on the focal set cardinalities, the conflict redistribution is assigned using factors. The weighted factors are computed from the original and the conjunctive masses assigned to each focal element. This strategy forces the conflict redistribution in favor of the more committed hypothesis. Our method is evaluated and compared with some numerical examples reported in the literature. As result, this rule redistributes the conflict in favor of the more committed hypothesis and gives intuitive interpretation for combining multiple information sources with coherent results.","PeriodicalId":136004,"journal":{"name":"17th International Conference on Information Fusion (FUSION)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123011537","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 13
URREF self-confidence in information fusion trust URREF自信信息融合信任
17th International Conference on Information Fusion (FUSION) Pub Date : 2014-07-07 DOI: 10.5281/ZENODO.22665
E. Blasch, A. Jøsang, J. Dezert, P. Costa, A. Jousselme
{"title":"URREF self-confidence in information fusion trust","authors":"E. Blasch, A. Jøsang, J. Dezert, P. Costa, A. Jousselme","doi":"10.5281/ZENODO.22665","DOIUrl":"https://doi.org/10.5281/ZENODO.22665","url":null,"abstract":"The Uncertainty Representation and Reasoning Evaluation Framework (URREF) includes an ontology that represents concepts and criteria needed to evaluate the uncertainty management aspects of a fusion system. The URREF ontology defines self-confidence as a measure of the information credibility as evaluated by the sensor itself. The concept of confidence, which is not explicitly defined in the ontology at URREF, has been extensively explored in the literature about evaluation in information fusion systems (IFS). In this paper, we provide a discussion on confidence as it relates to the evaluation of IFS, and compare it with the existing concepts in the URREF ontology. Our goal is two-fold, since we address both the distinctions between confidence and self-confidence, as well as the implications of these differences when evaluating the impact of uncertainty to the decision-making processes supported byt the IFS. We illustrate the discussion with an example of decision making that involves signal detection theory, confusion matrix fusion, subjective logic, and proportional conflict redistribution. We argue that uncertainty can be minimized through confidence (information evidence) and self-confidence (source agent) processing, The results here seek to enrich the ongoing discussion at the ISIF's Evaluation of Techniques for Uncertainty Representation Working Group (ETURWG) on self-confidence and trust in information fusion systems design.","PeriodicalId":136004,"journal":{"name":"17th International Conference on Information Fusion (FUSION)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126448592","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 41
Multi-level fusion of hard and soft information 软硬信息多层次融合
17th International Conference on Information Fusion (FUSION) Pub Date : 2014-07-07 DOI: 10.1007/978-3-319-28971-7_17
J. Biermann, V. Nimier, Jesús García, Kellyn Rein, K. Krenc, L. Snidaro
{"title":"Multi-level fusion of hard and soft information","authors":"J. Biermann, V. Nimier, Jesús García, Kellyn Rein, K. Krenc, L. Snidaro","doi":"10.1007/978-3-319-28971-7_17","DOIUrl":"https://doi.org/10.1007/978-3-319-28971-7_17","url":null,"abstract":"","PeriodicalId":136004,"journal":{"name":"17th International Conference on Information Fusion (FUSION)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121589561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 14
Automatic Aircraft Recognition using DSmT and HMM 基于DSmT和HMM的飞机自动识别
17th International Conference on Information Fusion (FUSION) Pub Date : 2014-07-07 DOI: 10.5281/ZENODO.22437
Xinde Li, Jingliang Pan, J. Dezert
{"title":"Automatic Aircraft Recognition using DSmT and HMM","authors":"Xinde Li, Jingliang Pan, J. Dezert","doi":"10.5281/ZENODO.22437","DOIUrl":"https://doi.org/10.5281/ZENODO.22437","url":null,"abstract":"In this paper we propose a new method for solving the Automatic Aircraft Recognition (AAR) problem from a sequence of images of an unknown observed aircraft. Our method exploits the knowledge extracted from a training image data set (a set of binary images of different aircrafts observed under three different poses) with the fusion of information of multiple features drawn from the image sequence using Dezert-Smarandache Theory (DSmT) coupled with Hidden Markov Models (HMM). The first step of the method consists for each image of the observed aircraft to compute both Hu's moment invariants (the first features vector) and the partial singular values of the outline of the aircraft (the second features vector). In the second step, we use a probabilistic neural network (PNN) based on the training image dataset to construct the conditional basic belief assignments (BBA's) of the unknown aircraft type within the set of a predefined possible target types given the features vectors and pose condition. The BBA's are then combined altogether by the Proportional Conflict Redistribution rule #5 (PCR5) of DSmT to get a global BBA about the target type under a given pose hypothesis. These sequential BBA's give initial recognition results that feed a HMM-based classifier for automatically recognizing the aircraft in a multiple poses context. The last part of this paper shows the effectiveness of this new Sequential Multiple-Features Automatic Target Recognition (SMF-ATR) method with realistic simulation results. This method is compliant with realtime processing requirement for advanced AAR systems.","PeriodicalId":136004,"journal":{"name":"17th International Conference on Information Fusion (FUSION)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130010588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 9
Evidential grids information management in dynamic environments 动态环境下的证据网格信息管理
17th International Conference on Information Fusion (FUSION) Pub Date : 2014-07-07 DOI: 10.5281/ZENODO.34812
J. Moras, V. Berge-Cherfaoui, P. Bonnifait
{"title":"Evidential grids information management in dynamic environments","authors":"J. Moras, V. Berge-Cherfaoui, P. Bonnifait","doi":"10.5281/ZENODO.34812","DOIUrl":"https://doi.org/10.5281/ZENODO.34812","url":null,"abstract":"An occupancy grid map is a common world representation for mobile robotics navigation. Usually, the information stored in every cell is the probability on the occupancy state. In this paper, an evidential approach based on Dempster-Shafer theory is proposed to process the information in accordance with the least commitment principle. The map grid is updated by a fusion mechanism by using an inverse model of the sensor. We show that the evidential framework offers powerful tools to make a good management of uncertainties especially when the sensory data are poor in terms of information. After having presented the key concepts of evidential grids with respect to probabilistic ones, entropy and specificity metrics are introduced to qualify the degree of information stored in the cells. Some comparisons with the probabilistic approach are given on fusion and decision results using simulation. We also report experimental results to illustrate the performance of a real-time implementation of the method with a 4-layer lidar mounted in the bumper of a car driving in real urban traffic conditions.","PeriodicalId":136004,"journal":{"name":"17th International Conference on Information Fusion (FUSION)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130399280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 11
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