基于云模型的基本概率赋值生成方法及应用  

Basic Probability Assignment Generation Method and Application Based on Cloud Model

作　　者：国强[1,2] 文伟璐 王亚妮 戚连刚 Kaliuzhny Mykola GUO Qiang;WEN Weilu;WANG Yani;QI Liangang;Kaliuzhny Mykola(College of Information and Communication Engineering,Harbin Engineering University,Harbin 150001,China;Key Laboratory of Advanced Marine Communication and Information Technology,Ministry of Industry and Information Technology,Harbin 150001,China;Agile and Intelligent Computing Key Laboratory of Sichuan Province,Chengdu 610036,China;Kharkiv National University of Radio Electronics,Kharkiv 61166,Ukraine)

机构地区：[1]哈尔滨工程大学信息与通信工程学院,哈尔滨150001 [2]先进船舶通信与信息技术工业和信息化部重点实验室,哈尔滨150001 [3]中国电子科技集团公司第十研究所敏捷智能计算四川省重点实验室,成都610036 [4]哈尔科夫国立无线电电子大学,乌克兰哈尔科夫61166

出　　处：《电子与信息学报》2023年第3期905-912,共8页Journal of Electronics & Information Technology

基　　金：国家重点研发计划(2018YFE0206500);国家自然科学基金(62071140);国家国际科技合作专项(2015DFR10220)。

摘　　要：针对证据理论应用中基本概率赋值(BPA)生成模型难以确定问题,该文提出一种基于云模型的BPA生成方法。首先基于样本属性的正态云模型构建单子集命题的BPA模型函数,并将复合子集的模型函数表示为高斯函数乘积融合。其次提出一种根据测试样本动态度量属性权重的方法来兼顾信息源的可靠性。最后,用属性权重修正模型函数输出的结果得到BPA。鸢尾花等数据集分类识别实验表明,该方法识别准确性高,且适用于样本较少的情况。Basic Probability Assignment(BPA)has no fixed generative model in the application of evidence theory.To solve this problem,a BPA generation method based on cloud model is proposed.Firstly,based on the normal cloud model of the sample attributes,the BPA model function of the single subset proposition is constructed,and the model function of the composite subset is expressed as Gaussian function product fusion.Secondly,a method of dynamically measuring attribute weights based on test samples is proposed to take into account the reliability of information sources.Finally,the BPA is obtained by modifying the output result of the model function with attribute weights.The classification and recognition experiments of iris and other data sets show that this method has high recognition accuracy and is suitable for situations with fewer samples.

关 键 词：目标识别 多源信息融合 证据理论 基本概率赋值 云模型 

分 类 号：TN911.7[电子电信—通信与信息系统] TP391[电子电信—信息与通信工程]