Dempster-Shafer Theory: combination of information using contextual knowledge

被引：0
|
作者：
Florea, Mihai Cristian [1 ]
Bosse, Eloi [2 ]
机构：
[1] Thales Canada, Land & Joint Syst Div, 1405 Boul Parc Technol, Quebec City, PQ G1P 4P5, Canada
[2] Def R&D Canada DRDC Valcartier, Decis Support Syst DSS Sect, Val Belair, ON G3J 1X5, Canada
来源：
FUSION: 2009 12TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION, VOLS 1-4 | 2009年
关键词：
Dempster-Shafer Theory; Evidence Theory; Robust Combination Rule; Contextual Knowledge; Reliability Evaluation; Fusion Architecture; FRAMEWORK; CONFLICT;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The aim of this paper is to investigate how to improve the process of information combination, using the Dempster-Shafer Theory (DST). In presence of an overload of information and an unknown environment, the reliability of the sources of information or the sensors is usually unknown and thus cannot be used to refine the fusion process. In a previous paper [1], the authors have investigated different techniques to evaluate contextual knowledge from a set of mass functions (membership of a BPA to a set of BPAs, relative reliabilities of BPAs, credibility degrees, etc.). The purpose of this paper is to investigate how to use the contextual knowledge in order to improve the fusion process.
引用
收藏
页码：522 / +
页数：3
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