交通污染排放的纯语言型多属性群决策模型

Linguistic multiple attribute group decision making model for traffic pollution control

为了有效评估不确定性交通污染排放控制方案的优劣,针对客观事物的复杂性及人类思维的模糊性,在构建影响其方案选择的指标体系基础上,利用语言变量刻画其不确定性,考虑决策者的主观偏好,研究一类该问题的多属性群决策模型。该模型有效地避免了传统方法无法处理交通污染排放属性权重完全未知、属性值和对方案的主观偏好值的缺陷,从而使得交通污染排放管控决策更具有科学性和合理性。以某道路的5个交通污染气体排放方案评估为例,并与无决策者主观偏好的方案排序结果比较,验证模型和算法的有效性。

In order to effectively evaluate the advantages and disadvantages of uncertain traffic pollution control program,an index system which influences the choice of programs was constructed,and a multi-attribute decision making model based on linguistic variables to describe their uncertainties was presented. The model considered each decision maker＇s preference to different programs. The uncertainty of traffic pollution control programs and a problem that the multi-attribute decision-makers cannot get the exact value in the evaluation process were effectively solved,so the traffic pollution control decision-making can be more scientific and rational. Five traffic pollution emissions of a road assessment program were taken as an example to verify the validity of the model and algorithm.Results from the model proposed were compared to those from the models that had no subjective preferences of decision makers.