{"title":"The design of EDI controls using case-based reasoning: EDICBR","authors":"Sangjae Lee, Ingoo Han","doi":"10.1002/(SICI)1099-1174(199809)7:3%3C135::AID-ISAF148%3E3.0.CO;2-C","DOIUrl":null,"url":null,"abstract":"This paper gives a description of EDICBR (EDI Controls design using Case-Based Reasoning), a case-based reasoning model for generating recommendations of EDI controls. The case base of EDICBR is composed of slots that include environmental and EDI controls. This system makes it possible to propose the EDI controls most needed in certain organizational contexts. This is performed by the following two steps. First, it suggests that the most probable level of controls from the cases be retrieved. Second, it determines the required controls that have the highest performance among the retrieved cases. EDICBR uses past cases to remind EDI auditors of similar cases and provides control recommendations. As a method to evaluate the effectiveness of EDICBR, the predictive power of the system is compared with that of multivariate discriminant analysis (MDA). The results show that the case-based reasoner outperforms MDA in predictive accuracy. © 1998 John Wiley & Sons, Ltd.","PeriodicalId":153549,"journal":{"name":"Intell. Syst. Account. Finance Manag.","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Intell. Syst. Account. Finance Manag.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/(SICI)1099-1174(199809)7:3%3C135::AID-ISAF148%3E3.0.CO;2-C","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
使用基于案例推理的EDI控件的设计:EDICBR
介绍了一种基于案例推理的EDI控件推荐生成模型——基于案例推理的EDI控件设计。EDICBR的案例库由包含环境和EDI控件的插槽组成。该系统使得在某些组织上下文中提出最需要的EDI控件成为可能。这是通过以下两个步骤执行的。首先,它建议从病例中恢复最可能的控制水平。其次,它确定在检索的用例中具有最高性能的所需控件。EDICBR使用过去的案例提醒EDI审核员注意类似的案例,并提供控制建议。将该系统的预测能力与多元判别分析(multivariate discriminant analysis, MDA)的预测能力进行了比较,作为评价该系统有效性的一种方法。结果表明,基于案例的推理器在预测精度上优于MDA。©1998 John Wiley & Sons, Ltd
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