基于改进的Apriori算法的R/M集成供应链风险预测  

R/M Integrated Supply Chain Risk Prediction Based on Improved Apriori Algorithm

作　　者：李莎[1] 顾巧论[1] 周莹莹[1] 

机构地区：[1]天津职业技术师范大学信息技术工程学院,天津300222

出　　处：《计算机科学》2012年第B06期331-334,369,共5页Computer Science

基　　金：国家自然科学基金(70871089)资助

摘　　要：针对R/M集成供应链的风险的特点提出Apriori算法进行预测,首先通过分析其风险的组成特性,建立风险数据库,提取风险数据库的相关信息,应用Apriori算法进行处理,通过找出风险发生的关联性找出风险的发生规律。利用改进候选项提取的方法减小Apriori算法的空间复杂度以提高运行效率。分析Apriori算法的计算结果,发掘风险事件与风险结果间的关联规则,解析结果,完成对R/M集成供应链的风险预测。通过仿真实验对算法进行了验证,结果表明该方法是可行的。This study was mainly to predict the risks for R/M integrated supply chain against its characteristics by Apriori algorithm.First it built risks database according to analyze the ingredient characteristics of the supply chain risk,extracting the relevant information from the risk database.Then dealt it with Apriori algorithm,finding the regularity of risks outbreak through the relevance between the risks.Used improving candidates’ extraction method to reduce the space complexity of Apriori algorithm to improve its operational efficiency.Extracted the results of Apriori algorithm to explore the association rules between the risk events and the risk results.Then analyzed the results to complete the R/M integrated supply chain risk prediction.And the method could be proved to be feasible through simulation experiment.

关 键 词：APRIORI算法 改进 R/M集成供应链 关联规则 风险预测 验证 

分 类 号：F224[经济管理—国民经济] O21[理学—概率论与数理统计]