| 经典DSmT证据组合规则的随机集表示 |
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| 引用本文： | 李朝真,程新明,兰旭辉,张亚兵.经典DSmT证据组合规则的随机集表示[J].人天科学研究,2011(11):45-48. |
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| 作者姓名： | 李朝真 程新明 兰旭辉 张亚兵 |
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| 作者单位： | [1]空军雷达学院研究生管理大队,湖北武汉430019 [2]空军雷达学院四系,湖北武汉430019 |
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| 摘 要： | 由于信息的多样性和复杂性,使得对不确定信息的表示和建模都要通过相应的方法完成。由于方法的不统一,难以实现对异类不确定信息的融合。寻找一种统一的理论实现多源异类信息的表示与建模,已成为信息融合领域中的关键问题。已有研究成果表明,随机集理论有望解决该难题。介绍了一种新的不确定推理理论-DSm理论,引入了随机集理论的基本概念和性质,以随机集为工具,给出了经典DSm组合规则的随机集表示,从而将DSmT纳入基于随机集理论的不确定信息统一表示与建模架构中。
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| 关 键 词： | 信息融合 DSmT 随机集 |
Representation of Classic DSmT Rule of Combination in the Random Sets Formalism |
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| Abstract: | Because of the diversity and complexity of information,the imperfect information is described and modeled by the corresponding theories.It is hard to fuse heterogeneous imperfect information for there is no unified method.It is the key to find out an unified method to describe and modele multisource heterogeneous information in information fusion domain.Random sets theory can solve this problem by the finished research.This paper presents Dezert-Smarandache（DSm）theory which is a new reasoning theory under uncertainty and introduces the basic concept and property of random sets theory.Classic DSm rule of combination（DSmC）is expressed in random sets formalism by using random sets methods.So we can take DSmT in the unified framework of random sets theory. |
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| Keywords: | Information DSmT Random Sets |
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