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基于粗集理论证据加权的电子目标识别法

严晓兰

现代防御技术2011,Vol.39Issue(4):75-79,5.
现代防御技术2011,Vol.39Issue(4):75-79,5.DOI:10.3969/j.iaan.1009-086x.2011.04.016

基于粗集理论证据加权的电子目标识别法

Electronic Target Recognition Method of Evidence Weighted Based on Rough Set Theory

严晓兰1

作者信息

  • 1. 电子工程学院,安徽合肥230037
  • 折叠

摘要

Abstract

When recognizing of electronic targets, D-S evidence theory of multi-sensors amalgamation is usually applied to process these problems. But because the importance of every sensor to recognition result is not distinguished in common D-S evidence theory, the attribute importance of rough set theory is applied to every sensor to realize the weighted amalgamation evidence theory. Simulation experiment and its results show that this method is effective in electronic target recognition and of strong realistic meaning, especially when some sensor is interfered.

关键词

电子目标识别/粗集/证据理论/属性重要度/基本概率赋值

Key words

electronic target recognition/ rough set/ evidence theory/ attribute importance/ basic probability assignment

分类

信息技术与安全科学

引用本文复制引用

严晓兰..基于粗集理论证据加权的电子目标识别法[J].现代防御技术,2011,39(4):75-79,5.

现代防御技术

OA北大核心CSTPCD

1009-086X

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