摘要
针对具有不同粒度语言判断矩阵形式偏好信息的群决策问题,提出了一种基于二元语义信息处理的群集结与方案优选方法.在该方法中,首先给出了不同粒度语言判断矩阵一致化为由基本语言评价集表示的二元语义形式的方法;然后基于二元语义的T-OWA算子,将各决策者给出的偏好信息集结为群的偏好并进行方案的优选.最后给出了一个算例.
With respect to group decision making problems with multi-granularity linguistic comparison matrices, a new approach based on two-tuple linguistic representation to group aggregation and alternative selection is proposed. In the approach, firstly, the computational formulae are given to uniform the multi-granularity linguistic comparison matrices into the form of two-tuple linguistic representation denoted by basic linguistic term set. Then, based on T-OWA operator, the preference information provided by every decision maker is aggregated into group preference and most desirable alternative is selected. Finally, an example is used to illustrate the use of the proposed approach.
出处
《系统工程学报》
CSCD
北大核心
2006年第3期249-253,共5页
Journal of Systems Engineering
基金
国家杰出青年科学基金资助项目(70525002)
国家自然科学基金资助项目(7037105070301008)
教育部高等学校优秀青年教师教学科研奖励计划资助项目(教人司[2002]123)
国家教育部高等学校博士学科点专项科研基金资助项目(20040145018)
辽宁省博士启动基金资助项目(20041019)
关键词
群决策
不同粒度
语言判断矩阵
二元语义
T-OWA算子
集结
方案优选
group decision making
multi-granularity
linguistic comparison matrix
two-tuple
T-OWA operator
aggregation
alternative selection
