Study on Enterprise Crisis Alert

摘要：

Facing the drastic market competition and complex environment, the enterprise often meets kinds of crisis,therefore, they need building crisis alert system so as to summarize experience, improve ability of resisting risk and keep themselves develop persistently. This paper gave a classification algorithm by attribute importance (CAAI algorithm). Attributes are reduced by rough set theory, redundant attributes are removed and the core attributes are gained. When building the decision tree through the CAAI algorithm, the current node was chosen from the core attributes of the simplified decision table and decision tree splitting is according to the importance degree of attribute so as to reduce computation and gain relative simple classification rules. An example in cheat crisis alert is given to validate the CAAI algorithm The results show that the method is effective. The research lays a foundation for further study on enterprise crisis alert system.

关键词： Enterprise crisis alert cheat crisis CAAI algorithm Rough set

作者: Hong Wang

作者单位: School of Economics & Business Administration, Productivity Research Center,HeiLongJiang University, Harbin 150080, China

会议类型: 国际会议

会议名称: The Second International Workshop on Information Systems for Crisis Response and Management(ISCRAM CHINA 2007)(第二届国际危机响应与管理信息系统中国研讨会)

会议地点: 哈尔滨

会议语种:英文

页码: 535-539

在线出版日期: 2007-08-26（万方平台首次上网日期，不代表论文的发表时间）