导出的纯语言OWGA算子及其在的群决策中的应用(英文)

Induced Pure Linguistic OWGA Operator and Its Application to Group Decision Making

研究属性权重、专家权重和属性值均为纯语言变量的多属性群决策问题,利用纯语言变量的运算规律,提出一种新的数据信息集成算子:导出的纯语言有序加权几何平均(IPLOWGA)算子。并且给出纯语言环境下基于IPLOWGA算子和PLOWGA算子的一种群决策方法。最后,进行实例分析,说明该方法的实用性和有效性。

For multiple attribute group decision making （MAGDM） problems, in which all the attribute weights, attribute values and the expert weights take the form of linguistic variables, by utilizing some operational laws of pure linguistic variables, we propose a new aggregation operator called induced pure linguistic ordered weighted geometric averaging （IPLOWGA） operator. Then we develop a PLOWGA and IPLOWGA operators-based approach to MAGDM under pure linguistic environment. Finally, an illustrative example is given to verify the developed approach and to demonstrate its practicality and effectiveness.