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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.
A method of attribute weight determination and scheme ranking using online evaluation information is proposed.Firstly, the online evaluation information is described as a discrete probability distribution function form and a weighted cumulative distribution function decision matrix is constructed.Secondly, based on the matrix, The distribution vector and the distance between each program and its vector, to build an optimization model to determine the weight of the attribute; Thirdly, according to the determined weight, the ranking results of each program are determined to determine the ranking results; finally, according to the car provided by the website of Car home The product online evaluation information, through an example to verify the practicality and feasibility of the proposed method.