Results 251 to 260 of about 39,485,272 (291)
Some of the next articles are maybe not open access.
Fault Diagnosis and Optimization for Agent Based on the D-S Evidence Theory
2012To solve only consider the evidence oneself in fault diagnosis conflict using Dempster-Shafer evidence theory(D-S), not consider environment influence and the different capacities of diagnosis method, and sometimes because of the more subjectivity, the more qualitative factor and the less quantitative analysis, the fairness of tender evaluation is ...
Jianfang Wang, Qiuling Zhang, Huilai Zhi
openaire +2 more sources
Target identification based on the improved D-S evidence theory
2008 27th Chinese Control Conference, 2008This paper presents a method of multisensor data fusion based on neuron network and reasoning (Dempster-Shafer evidence reasoning). The method can use D-Spsilas Evidence to deal with the inaccuracy and fuzzy information. And also it can give full play to self-study of neural net, self-adapting and fault tolerant ability.
null Hu yulan, null Fan xiaojing
openaire +1 more source
Evidence Relationship Matrix and Its Application to D-S Evidence Theory for Information Fusion
2006D-S evidence theory has been studied and used for information fusion for a while. Though D-S evidence theory can deal with uncertainty reasoning from imprecise and uncertain information by combining cumulative evidences for changing prior opinions using new evidences.
Xianfeng Fan +2 more
openaire +2 more sources
Fault diagnosis method based on D-S evidence theory
2010 Prognostics and System Health Management Conference, 2010Capabilities that prognostics and system health management (PHM) system detect fault, isolate fault and forecast fault directly determine the effectiveness of the maintenance work. With the development of sensor technology and signal processing methods, in order to precisely detect and identify faults, fault diagnosis is a typical multi-sensor fusion ...
null Yueqin Wu +2 more
openaire +1 more source
A Creditable Subspace Labeling Method Based on D-S Evidence Theory
2008Due to inherent sparse, noise and nearly zero difference characteristics of high dimensional data sets, traditional clustering methods fails to detect meaningful clusters in them. Subspace clustering attempts to find the true distribution inherent to the subsets with original attributes.
Yu Zong +3 more
openaire +1 more source
Intrusion Alert Correlation based on D-S Evidence Theory
2007 Second International Conference on Communications and Networking in China, 2007Current intrusion detection systems (IDSs) often trigger a large amount of alerts, most of which are redundant alerts and false positives. Consequently, it is difficult for administrators to understand the alerts and take appropriate actions. Several alert correlation methods have been proposed.
Mei Haibin, Gong Jian
openaire +1 more source
Study on Automobile Comprehensive Performance of D-S Evidence Theory
Applied Mechanics and Materials, 2013Since there are many indexes of a car, we can ?t use a single index to evaluate the performance of a car. In order to fully evaluate the performance of a car, an evaluation index system of the automobile comprehensive performance was constructed from five aspects: dynamic performance, braking performance, operational stability, riding comfort and ...
Zhi Hong Wang, Yi Ming Shao, Chu Cao
openaire +1 more source
Information Fusion Based on Improved D-S Evidence Theory
Applied Mechanics and Materials, 2013Dempster-Shafer evidence theory is an efficient method to process uncertain, incomplete and vague information in data fusion. Aiming at the failure of conditional D-S evidence theory in dealing with conflicting evidences, an improved D-S combination rule is recommended.
Guang Pan, Lin Li Wu
openaire +1 more source
An Improved Extension of the D-S Evidence Theory to Fuzzy Sets
2008 The Third International Multi-Conference on Computing in the Global Information Technology (iccgi 2008), 2008To analyze fuzzy data in uncertain evidential reasoning, some researchers have recently extended the D-S evidence theory to fuzzy sets. But there are some insufficiencies in the definition of the fuzzy belief function and the combination rule on fuzzy sets of the D-S evidence theory.
Y. Z. Miao +4 more
openaire +1 more source
Fault Diagnosis Based on PCA and D-S Evidence Theory
2009 Asia-Pacific Power and Energy Engineering Conference, 2009A fault diagnostic method combined with principal components analysis and D-S evidence theory is presented. Firstly a set of principal components models (PCM) are established by the type faults sample data, and high dimensions data could be characterized by the low dimensions data as new sample data under the condition of information lose least, and ...
Yong-Guang Ma, Ji Zhang
openaire +1 more source