论文部分内容阅读
企业竞争情报至为关键的一环是对所搜集并筛选后的信息情报进行分类。目前所采用的分类方法中由于一篇文献只划归为一类,使得文献的使用价值不能充分发挥。根据高新企业的实际情况,同一文献在不同的需求下,可以归为不同的类别。试图运用聚类分析法来对竞争情报进行分类,以有效地解决这一问题。高新企业竞争情报的聚类分析法的过程分为5个步骤,即建立竞争情报相似矩阵、将相似矩阵转换为等价矩阵、建立聚类标准、进行聚类计算、复制被聚类的文献并提交企业各使用部门。
The crucial part of enterprise competitive intelligence is the classification of intelligence information collected and filtered. Currently used in the classification of a document only classified as a category, making the use of the value of the document can not give full play. According to the actual situation of high-tech enterprises, the same document in different needs, can be grouped into different categories. Trying to use clustering analysis to classify the competitive intelligence in order to effectively solve this problem. The process of clustering analysis of competitive intelligence in high-tech enterprises is divided into five steps, namely, the establishment of competitive intelligence similarity matrix, the conversion of similarity matrix into equivalence matrix, the establishment of clustering standards, clustering calculation, duplication of clustered documents Submitted to the use of the business sector.