数据采集与处理Issue(6)：1318-1324,7.DOI:10.16337/j.1004-9037.2015.06.022
基于正态云模型的基本概率指派生成方法及应用
Determination of Basic Probability Assignment Based on Cloud Model and Application
摘要
Abstract
Determination of the basic probability assignment (BPA) is the first and main step to the evi‐dence theory application .How to generate BPA is still an open issue .To solve the problem ,a method for determining BPA based on the cloud model is proposed .Firstly ,the normal cloud model of each sample under the property is constructed based on the backward cloud generator .Secondly ,through the anteced‐ent cloud generator repeatedly ,the average certainty of the test sample under this property is obtained . Thirdly ,a method for measuring the similarity of normal cloud models is proposed ,and the maximal similarity of the normal cloud model is made ,which has the maximal certainty as the belief of the univer‐sal set .Finally ,the certainty is normalized to obtain the BPA of each class .The effectiveness of the method is proved by experiments ,and it can generate BPA in the case of little samples numbers .关键词
信息融合/云模型/证据理论/基本概率指派Key words
information fusion/cloud model/evidence theory/basic probability assignment (BPA)分类
信息技术与安全科学引用本文复制引用
崔家玮,李冰,李弼程..基于正态云模型的基本概率指派生成方法及应用[J].数据采集与处理,2015,(6):1318-1324,7.基金项目
国家高技术研究发展计划（“八六三”计划）（2012AA7032030D）资助项目。 （）
