摘要
提出了一种基于二元语义的群体评价模型.该方法的核心是依据传统灰色关联分析方法的基本思想,通过计算每个方案对正理想点的语义灰色关联度,最终确定最优方案,使该方案对正理想点具有最大的灰色关联度.该方法具有对语言信息处理较为精确的特点,避免了以往采用的语言信息处理方法所带来的信息扭曲和损失;最后进行实例分析,说明该方法的实用性和有效性.
A new model is proposed with two-tuple linguistic information.According to the traditional ideas of grey relational analysis,the optimal alternative is determined by calculating the linguistic degree of grey relation of every alternative and positive ideal solution.It is based on the concept that the optimal alternative should have the largest degree of grey relation from positive ideal solution.The method has precise characteristic in linguistic information processing.It avoided information distortion and losing which occur formerly in the linguistic information processing.Finally,an illustrative example is given to verify the developed approach and to demonstrate its practicality and effectiveness.
出处
《重庆文理学院学报(自然科学版)》
2010年第4期16-19,27,共5页
Journal of Chongqing University of Arts and Sciences
关键词
群决策
语言评价信息
二元语义
灰色关联分析
档案管理
group decision making
linguistic assessment information
two-tuple
grey relational analysis(GRA)
archives management