高速列车舒适性评价指标权重的确定是十分复杂的过程,评价指标权重的大小直接影响评价结果的准确度。本文通过建立高速列车舒适性多元指标综合评价体系,以网络层次分析法(ANP)确定主观权重,变精度粗糙集(V PRS )理论确定客观权重,并通过最小相对信息熵原理将两者权重有机结合进行综合分析,从而确定多元指标的权重值。通过实例验证,表明该方法确定的高速列车舒适性综合评价指标权重更加有效合理。
Determination of index weights for evaluation of high-speed train comfort is a very comples process . The magnitudes of the index weights directly affect the accuracy of the evaluation results . In this paper , the multiple index system for comprehensive evaluation of high-speed train comfort was established . The analytic network process (ANP) was used to determine the subjective weights whereas the varicble precision rough set (VPRS) theory to determine the objective weights . The principle of minimum relative information entropy was employed to make comprehensive analysis on synthesized selection of both the subjective and objective weights so that the final weights of the multiple indexes were determined .Case study shows the rationality of the pro-posed approach to the final index weights for comprehensive evaluation of high-speed train comfort .