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针对具有语言评价信息的多属性群决策问题,提出了一种新的决策方法.该方法采用二元语义表示模型和计算模型进行语言评价信息的处理,并依据LINMAP法的基本思想,在给出群体一致度和不一致度定义的基础上,构造了一个估计正理想点和属性权重的线性规划模型,通过计算每个方案与正理想点之间的距离来确定最优方案.最后用实例说明了该方法的有效性与合理性.
Aiming at the problem of multi-attribute group decision making with linguistic assessment information, a new decision-making method is proposed, which uses binary semantic representation model and computational model to process linguistic evaluation information. According to the basic idea of LINMAP method, Group consistency and inconsistency, a linear programming model is built to estimate the positive ideal point and the attribute weight, and the optimal scheme is determined by calculating the distance between each scheme and the positive ideal point.At last, an example is given to illustrate The validity and rationality of this method.