中文摘要：

提出一种使用在线评价信息的属性权重确定及方案排序方法.首先,将在线评价信息描述为离散型概率分布函数形式,并构建加权累积分布函数决策矩阵;其次,依据该矩阵,通过定义理想累积分布向量和每个方案与其向量的距离,构建确定属性权重的优化模型;再次,依据确定的权重,通过计算每个方案的排序值确定方案的排序结果;最后,依据汽车之家网站提供的汽车产品在线评价信息,通过一个实例验证了所提出方法的实用性和可行性.

英文摘要：

A method for determining attribute weights and ranking alternatives is proposed by using online evaluation information. Firstly, online evaluation information with respect to each attribute is described as the form of the discrete probability distribution function, and the decision matrix about weighted cumulative distribution functions is constructed.Then, based on the decision matrix, the optimization model is constructed to determine attribute weights by defining the ideal cumulative distribution vector and the distance between each alternative and the vector. Furthermore, the ranking of alternatives can be determined through calculating the ranking value of each alternative. Finally, according to the online evaluation information of automobile products from the website ‘autohome.com.cn＇, the feasibility and practicability of the proposed method is illustrated through an instance analysis.