基于多属性决策理论的文本信息挖掘技术研究  

On Text Information Mining Technology Based on Multi-Attribute Decision Theory

作　　者：孙平安[1] 谭秋月[2] 

机构地区：[1]武夷学院实验室管理中心,福建武夷山354300 [2]武夷学院数学与计算机系,福建武夷山354300

出　　处：《西南师范大学学报（自然科学版）》2016年第11期155-159,共5页Journal of Southwest China Normal University(Natural Science Edition)

基　　金：福建省教育厅中青年教师科技项目(JA15513);福建省教育厅科技项目(JK2012056);武夷学院校科技项目(xl201409);武夷学院科技项目(XL201409)

摘　　要：针对电子商务网络消费的文本信息挖掘问题,构建了一个基于多属性决策理论的挖掘方法.首先设置指标集合和方案集合,进而根据这2个集合生成决策矩阵,再根据分项属性指标的归一化处理、权重配置,最终形成基于决策判断的文本挖掘.实验结果表明,LG品牌电视在显示属性方面更优,SONY品牌电视具有综合优势,长虹品牌电视也有自己的优势所在.In view of the problem of text information mining in the consumption of electronic commerce net-work, a mining method has been constructed based on multi attribute decision theory. In this method, in-dex set and scheme set has been set up, and then the decision matrix generated according to the two sets. Then the text mining based on the decision making judgment has been formed according to the normalized processing and the weight allocation. Experimental results show that the LG brand TV is more excellent in the display attributes, SONY brand TV has a comprehensive advantage, and Changhong brand TV also has its own advantages.

关 键 词：多属性决策 文本信息 文本挖掘 消费评价 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]