结合DSmT理论和系统建模的知识融合算法

Algorithm Research of Knowledge Fusion by DSmT Theory and System Modeling

目前国内外常用的一种知识融合算法是DS证据理论,但这种方法受到单一故障假设的条件限制,应用范围受限。所以,提出了一种使用DSmT混合组合规则与系统建模方法的全新的知识融合算法,这样即解决了DS理论的单一故障假设的限制,又避免了自由DSmT只适用于不考虑排斥性约束和非存在性约束的条件限制,使得算法的应用范围更广。

A commonly used knowledge fusion algorithm at home and abroad now is DS evidence theory,but this method is limited by the single fault assumption conditions,an System modeling is limited the application scope. So,the article proposes a brand-new knowledge fusion algorithm that uses DSmT combination rules and system modeling method ,which solves the DS theory of the limitation of the single fault assumption,and avoids free DSmT applies only to not consider exclusion constraints and the existence of constraint conditions,make the application of algorithm become wider.