摘要
在相关研究的基础上,明确界定了在线群评价模型。该模型将在线评价信息用向量评价矩阵来表示,巨量数据转换成易于运算的方式。针对向量难以集结、属性权重难以明确等问题,运用偏序集相关知识对方案进行排序。通过权重排序信息,应用偏序集决策方法,对向量评价矩阵进行变换,得到方案间的比较关系矩阵。用偏序集表示的在线评价模型,不仅能够对方案进行排序,还能用于个性化产品推荐,通过Hasse图能够直观展示方案间的层次关系。最后,依据汽车之家网站提供的汽车产品在线评价信息的例子,体现本文方法的独特性和实用性。
It clearly defines the online group evaluation model on the basis of relevant research.The model evaluates the online evaluation information with a vector evaluation matrix,and converts the amount of data into the way of easy-to-calculate.In order to solve the problem that the vector is difficult to be assembled and the attribute weights is difficult to be determined,It gives the order of schemes by using the poset knowledge.With the information of weights order,it uses the poset decision method to transform the vector evaluation matrix,and gets the comparison relation matrix between the schemes.The online evaluation model is represented by the poset can not only be able to sort the scheme,but also can recommend the personalized product,visualizing the hierarchical relationship between the programs with the Hasse diagram.Finally,it reflects the unique and practical method of this article through the example of automotive products online evaluation information based on car home website.
作者
岳立柱
李良琼
YUE li-zhu;LI liang-qiong(Liaoning Technical University,School of Business Administration,Liaoning Fuxin 123000,China)
出处
《运筹与管理》
CSSCI
CSCD
北大核心
2019年第3期111-117,共7页
Operations Research and Management Science
基金
辽宁省教育厅基金项目(LJCR010
LJCR007)
