Predicting information systems outsourcing success using a hierarchical design of case-based reasoning

A hierarchical design of case-based reasoning in the balanced scorecard application

“…Kelly and Davis (1991) proposed a GA-based approach for the k-nearest neighbor method with a lower error rate than the standard method. Hsu, Chiu, and Hsu (2004) proposed a two-level hierarchical design of CBR in predicting information systems outsourcing success. In our study, we extended Hsu et al's two-level weight design into the three-level weight design in the context of balanced scorecard.…”

Customer Relationship Management in Healthcare Service – An Integrated DSS Framework for Patient Loyalty

“…Several researches have applied CBR for prediction in different business domains, including the early cost prediction of structural systems [5], the predicting high risk software components [6] and etc. Our previous research proposed a casebased prediction mechanism to predict IS outsourcing success using genetic algorithms (GA) to support the retrieval of similar cases [7].…”

Application of a 3NN+1 based CBR system to segmentation of the notebook computers market

“…It is thus commonly applied to customer segmentation in commercial areas (Changchien & Lin, 2005;Chiu, 2002;Chun & Park, 2006). Besides, applications of CBR in other areas such as the medical or the manufacturing industry, are also frequent (Hsu, Chiu, & Hsu, 2004;Im & Park, 2007;Tseng, Chang, & Chang, 2005).…”