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。
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.
出处
《计算机工程与应用》
CSCD
北大核心
2015年第9期57-61,共5页
Computer Engineering and Applications
基金
国家自然科学基金(No.71071002
No.71371011
No.71301001)
教育部高等学校博士点基金(No.20123401110001)
留学回国人员科研启动项目
安徽省自然科学基金(No.1308085QG127)
安徽省高校省级自然科学研究重点项目(No.KJ2012A026)
