软科学
軟科學
연과학
Soft Science
2015年
7期
140~144
,共null页
不完全信息 群组评价 随机抽样 D-S证据理论 证据融合
不完全信息 群組評價 隨機抽樣 D-S證據理論 證據融閤
불완전신식 군조평개 수궤추양 D-S증거이론 증거융합
incomplete information; group evaluation; random sampling; D-S evidence theory; evidence fusion
借鉴D-S证据理论的表达方式和思想,根据专家评价意见相似度矩阵计算结果得到专家意见的客观权重,以此为依据融合不完全信息并构造评价对象的累积分布函数,最后采用Monte Carlo随机抽样法对评价对象最终评价值进行计算并排序。实例分析表明,新方法正确、有效,且能较好地保留专家原始评价信息,从而得到更为客观的评价结果。
藉鑒D-S證據理論的錶達方式和思想,根據專傢評價意見相似度矩陣計算結果得到專傢意見的客觀權重,以此為依據融閤不完全信息併構造評價對象的纍積分佈函數,最後採用Monte Carlo隨機抽樣法對評價對象最終評價值進行計算併排序。實例分析錶明,新方法正確、有效,且能較好地保留專傢原始評價信息,從而得到更為客觀的評價結果。
차감D-S증거이론적표체방식화사상,근거전가평개의견상사도구진계산결과득도전가의견적객관권중,이차위의거융합불완전신식병구조평개대상적루적분포함수,최후채용Monte Carlo수궤추양법대평개대상최종평개치진행계산병배서。실례분석표명,신방법정학、유효,차능교호지보류전가원시평개신식,종이득도경위객관적평개결과。
Drawing on the expressment and thoughts of D-S evidence theory,similarity matrix between each two experts＇ opinions was calculated to determine the objective weights of experts＇ opinions in this paper,with which imcomplete information were fused. Cumulative distribution functions of evaluation objects were constructed based on fused information. Monte Carlo sampling was used to get the final values of objects,and then objects were sorted according to these values. Example shows the effectiveness and correctiveness of the new method. With this method,raw information in experts＇ opinions are retained,and the evaluation results are more obejective.
