分析了异常证据的概念及其分类,提出了基于证据距离和证据冲突程度的异常证据检测算法.该算法讨论了异常证据检测算法中的距离和冲突程度两个重要参数,具有计算量小、简便实用等优势.实例表明算法有效可行.
In this paper, the concept of abnormal evidence and its classification are analyzed in detail. And a new algo- rithm for detecting such abnormal evidence is presented, which is based on the evidence distance and its conflict measure. In this proposed algorithm, two important parameters, i.e. evidence distance and conflict measure, are defined respec- tively. And it has some advantages including less computation and good practicality. Finally, an illustrative example is shown that its flexibility and availability.