摘要
不同模糊积分进行信息融合的结果有时可能会差别很大,为了提高多分类器融合系统的识别率,提出基于多分类器多模糊积分的信息融合方法,综合考虑多分类器不同模糊积分的融合结果来进行分类,有助于弥补采用单一模糊积分信息融合方法的不足。
In this paper, a method for information fusion based on multiple classifier and multiple fuzzy integral is proposed to make up the deficiency of the single fuzzy integral. Many kinds of fuzzy integral fusion results are synthesized by weighting to ultimate fusion result, which is helpful to improve the recognition rate and robustness of multi-classifier fusion system.
出处
《重庆科技学院学报（自然科学版）》
CAS
2008年第3期87-89,共3页
Journal of Chongqing University of Science and Technology：Natural Sciences Edition
基金
安徽省高等学校青年教师科研基金资助项目(2006jql226)
合肥学院科研基金资助项目(06KY008ZR)
关键词
模糊测度
模糊积分
信息融合
fuzzy measure
fuzzy integral
information fusion
