一种基于决策距离测量与D-S证据理论结合的多源冲突证据信息融合算法

应用D-S证据理论能够有效的解决多传感器的信息融合问题,而在证据间冲突情况严重时,应用D-S合成规则可能获得有悖常理的结论,针对这一问题,通过细致研究多种典型处理冲突证据信息融合的方法,引入决策距离测量和证据间距离函数概念,应用证据间支持度、可信度和平均信任度函数等处理证据的方法,将多源冲突证据重构数学模型合理化处理,再应用D-S证据合成规则进行多源信息融合,得到一种基于决策距离与D-S证据理论结合的多源冲突证据信息融合算法.由仿真结果分析可知,该算法能解决D-S合成规则融合冲突证据信息存在的问题,得出比较合理的信息融合结论.

基于决策距离的多传感器信息融合加权平均算法

本文引入证据间距离、证据间支持度和可信度、决策距离测量等重要概念,对证据的信任函数数据进行合理化处理,并借助D-S证据合成规则实现多传感器的信息融合,从而提出基于决策距离的多传感器信息融合加权平均算法。算例分析表明,该方法能够有效解决D-S冲突问题,确保信息融合结果的准确度。

Multiple attribute decision making based on different types of linguistic information

Distance measures between exact linguistic variables and between uncertain linguistic variables are introduced respectively. Based on exact linguistic variables and uncertain linguistic variables, the concepts of positive linguistic ideal solution and negative linguistic ideal solution of attribute values are defined. To rank and select alternatives, based on the distance measures of two types of linguistic variables and the linguistic ideal solutions, a method for multiple attribute decision making with different types of linguistic information is proposed, by which all alternatives can be ranked. The method can carry out linguistic computation processes easily without loss of linguistic information, and thus makes the decision result reasonable and effective. Finally, the implementation process of the proposed method is illustrated and analyzed by a numerical example.