计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2015年
9期
57-61
,共5页
多属性决策%Power平均%连续区间Power有序加权几何平均(C-POWGA)算子%风险态度%绩效评价
多屬性決策%Power平均%連續區間Power有序加權幾何平均(C-POWGA)算子%風險態度%績效評價
다속성결책%Power평균%련속구간Power유서가권궤하평균(C-POWGA)산자%풍험태도%적효평개
multiple attribute decision making%Power mean%Continuous Power Ordered Weighted Geometric Averaging (C-POWGA)operator%risk attitude%performance evaluation
为了降低不确定多属性决策中区间决策信息集成时的计算复杂度，将连续区间有序加权几何平均（C-OWGA）算子和Power几何平均算子相结合，提出一种连续区间Power有序加权几何平均（C-POWGA）算子，并提出了一种基于C-POWGA算子的不确定多属性群决策方法；通过某银行的员工绩效考核来说明该方法的可行性和有效性。
為瞭降低不確定多屬性決策中區間決策信息集成時的計算複雜度，將連續區間有序加權幾何平均（C-OWGA）算子和Power幾何平均算子相結閤，提齣一種連續區間Power有序加權幾何平均（C-POWGA）算子，併提齣瞭一種基于C-POWGA算子的不確定多屬性群決策方法；通過某銀行的員工績效攷覈來說明該方法的可行性和有效性。
위료강저불학정다속성결책중구간결책신식집성시적계산복잡도，장련속구간유서가권궤하평균（C-OWGA）산자화Power궤하평균산자상결합，제출일충련속구간Power유서가권궤하평균（C-POWGA）산자，병제출료일충기우C-POWGA산자적불학정다속성군결책방법；통과모은행적원공적효고핵래설명해방법적가행성화유효성。
In order to reduce the computation complexity of interval information aggregation in uncertain multiple attribute decision making, this paper proposes the Continuous Power Ordered Weighted Geometric Averaging(C-POWGA)operator based on the Continuous Ordered Weighted Geometric Averaging(C-OWGA)operator and the power geometric mean, as well as puts forward a method applied to uncertain multiple attribute decision making based on the C-POWGA operator. It illustrates the feasibility and effectiveness of the new approach by giving a numerical example of performance evaluation of employees of a bank.
