群决策中基于语言信息处理的一种理想点法

A TOPSIS Method with Linguistic Information for Group Decision Making

针对具有自然语言评价信息的多指标群决策问题 ,提出了一种基于语言信息处理的理想点法。该方法是采用近年来最新发展的LWD算子和LOWA算子对自然语言符号进行处理和运算 ,通过计算每个方案与正负理想点间的距离 ,最终确定最优方案 ,使该方案最贴近正理想点和最远离负理想点。最后给出了一个算例。

With regard to multiple attribute group decision making problems with linguistic assessment information,a new TOPSIS method is proposed.In the method,LWD operator and LOWA operator are used to aggregate the linguistic information.The optimization alternative(s)is determined by calculating the distance of every alternative and positive ideal solution and negative ideal solution.It is most similar to positive ideal solution and far away fvom negative ideal solution.Finally,a numerical example is used to illustrate the use of the proposed method.