[1]黄 梅,吴根秀,刘邱云,等.一种基于大焦元分解的信任函数逼近方法[J].江西师范大学学报(自然科学版),2016,40(03):285-289.
　HUANG Mei,WU Genxiu,LIU Qiuyun,et al.The Approximation Method of Belief Function Based on Decomposing Large Focal Elements[J].Journal of Jiangxi Normal University:Natural Science Edition,2016,40(03):285-289.
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一种基于大焦元分解的信任函数逼近方法()
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《江西师范大学学报》（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]

卷:
40
期数:
2016年03期
页码:
285-289
栏目:
出版日期:
2016-07-01

文章信息/Info

Title:
The Approximation Method of Belief Function Based on Decomposing Large Focal Elements
作者:
黄 梅; 吴根秀; 刘邱云; 吴 恒; 毛临川
江西师范大学数学与信息科学学院,江西 南昌 330022
Author(s):
HUANG Mei; WU Genxiu; LIU Qiuyun; WU Heng; MAO Linchuan
College of Mathematics and Informatics,Jiangxi Normal University,Nanchang Jiangxi 330022,China
关键词:
D-S证据理论;  基本概率赋值;  能量函数;  平均能量函数
Keywords:
D-S theory of evidence;  basic probability assignment;  energy function;  the average energy function
分类号:
O 236
文献标志码:
A
摘要:
针对证据合成提出一种基于大焦元分解的信任函数逼近方法,首先将基数过大的焦元进行分解,将焦元基数控制在不大于k的范围内,然后再按照改进的能量函数删减焦元,这样不仅减少焦元的个数,也控制了焦元基数,更优化了在证据合成时的计算复杂度,并且试验结果也表明了该方法的有效性.
Abstract:
An improved method of belief function based on decomposing large focal elements is proposed for the theory of evidence.First,by decomposing the focal elements with big cardinality,the cardinality of focal elements are controlled within no more than en focal elements based on the improved energy function are reduced.So the improved method not only reduces the number of focal elements,but also controls the cardinality of focal elements,and optimizes the computational complexity,and the example analysis shows that the method takes on better effectiveness.

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备注/Memo

备注/Memo:
收稿日期:2015-12-30基金项目:江西省自然科学基金(20151BAB207030)和江西省教育厅科学技术课题(GJJ14244)资助项目.通信作者:吴根秀(1965-),女,江西南丰人,教授,主要从事数据挖掘、不确定性推理、信息融合方面的研究.
更新日期/Last Update: 1900-01-01