一种结合证据理论和Vague集信息融合方法

针对强冲突下证据理论结果与直觉相悖及Vague集数值获取主观性强等问题,提出一种结合证据理论和Vague集的新方法.该方法将获取证据理论的信度函数转化为Vague集区间值形式,通过求解与理想点的距离进行决策.在进行信度函数到Vague集区间值的转化时,提出一种基于聚焦度递减顺次分配的思想,经分析得出该思想与人的主观思想是一致的,最后举例阐明整个算法过程.

A New Algorithm of Information Fusion Combined Evidential Theory and Vague Set

DS evidential theory may give improper results in strong conflict evidence,and the value acquisition process for Vague set is always highly subjective,thus constraining their use in information fusion application.To solve these problems,a new algorithm based on DS evidential theory combined with Vague set is presented.First,the confidence function obtained within DS evidential theory framework is transformed into the Vague set formats,in which a new thought based on focused degree descending assignment is p...