欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
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。
英文摘要：
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.
同期刊论文项目
同项目期刊论文
Generalized logarithmic proportional averaging operators and their applications to group decision ma
Continuous Ordered Weighted Distance Measure and Its Application to Multiple Attribute Group Decisio
Logarithm Compatibility of Interval Multiplicative Preference Relations with an Application to Deter
Generalized intuitionistic fuzzy geometric interaction operators and their application to decision m
Intuitionistic fuzzy geometric interaction averaging operators and their application to multi-criter
The induced linguistic continuous ordered weighted geometric operator and its application to group d
Induced and Linguistic Generalized Aggregation Operators and Their Application in Linguistic Group D
Continuous interval-valued intuitionistic fuzzy aggregation operators and their applications to grou
An approach to group decision making with interval fuzzy preference relations based on induced gener
期刊信息
位置：