CAJ | 학술논문

为了提高证据融合的精确度并降低融合的运算量,结合批量式融合和序贯式融合的优点,提出证据分组合成法.该方法首先判断证据间是否可用Dempster组合规则进行合成,若可以,则两证据归为同组;否则归为不同组.对于同组证据,利用Dempster组合规则直接合成,即组内证据序贯式融合;对于不同组证据,通过最优化模型修正各组证据源,再利用Dempster组合规则合成,即组间证据批量式融合.算例分析验证了该方法具有运算量小、稳定性好、精确度高的特点.
위료제고증거융합적정학도병강저융합적운산량,결합비량식융합화서관식융합적우점,제출증거분조합성법.해방법수선판단증거간시부가용Dempster조합규칙진행합성,약가이,칙량증거귀위동조;부칙귀위불동조.대우동조증거,이용Dempster조합규칙직접합성,즉조내증거서관식융합;대우불동조증거,통과최우화모형수정각조증거원,재이용Dempster조합규칙합성,즉조간증거비량식융합.산례분석험증료해방법구유운산량소、은정성호、정학도고적특점.
@@@@To improve the precision of evidence fusion and simplify its computation, a grouping method for combining evidence is proposed to take the advantages of sequence fusion and batch fusion. Firstly, the proposed method judges whether the pieces of evidence can be combined by using Dempster rule of combination. If the pieces of evidence are judged to be fused with Dempster rule of combination, they will be put into the same group. Otherwise, they will be put into different groups. The evidence in the same group is combined directly with Dempster rule of combination, which forms sequence fusion within groups. For the evidence in different groups, an optimization model is developed to modify the evidence, and then combined with Dempster rule of combination, which forms batch fusion among groups. Numerical examples are provided to demonstrate the advantages of the proposed method, such as less computation, better stability and higher precision.