Abstract: 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.

Key words: multiple attribute decision making, Power mean, Continuous Power Ordered Weighted Geometric Averaging（C-POWGA） operator, risk attitude, performance evaluation

摘要： 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。

关键词: 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