团队风险偏好的ERP风险关联规则的获取

Association Rules-Based Risk Analysis of ERP Implementation by Using Risk Preference of Team Members

针对企业在实施ERP过程中影响因素过多而造成失败率偏高这一问题,提出了团队成员风险偏好的数据挖掘的企业ERP风险研究;充分考虑ERP项目参与成员的意见,将其意见利用李克特量表法量化并转化成为综合权重,即在传统AHP方法的目标层和准则层之间引入项目参加人员的综合评价均值;然后利用粗糙集对风险属性进行约简,对约简后的属性用关联规则算法获取风险属性之间的联系。此方法有效地预防风险的发生,提高企业实施ERP的成功率。

It is well-known that the failure rate in implementing enterprise resource planning （ERP） is high. Thus, a study is conducted on how to decrease the failure rate. To do so, a method is proposed to analyze the risk in ERP implementation by data mining based on risk preference of team members. With the proposed method, it considers the opinions of ERP team members and quantifies them. To do so, it in- troduces comprehensive evaluation mean into the target and rule layer in the analytical hierarchy process （AHP） structure. Then, attribute reduction is done by using rough set. Association rules among the risk attributes can be acquired by using association rule algorithm. By the proposed method, the success rate of ERP implementation can be effectively enhanced.