Article ID: | iaor20084584 |
Country: | Netherlands |
Volume: | 177 |
Issue: | 1 |
Start Page Number: | 515 |
End Page Number: | 524 |
Publication Date: | Feb 2007 |
Journal: | European Journal of Operational Research |
Authors: | Jones D.F., Collins A., Hand C. |
Keywords: | programming: goal, forecasting: applications, datamining |
This paper presents a goal programming model that allows for the flexible handling of the two group classification problem. The goal programming model is based around the concepts of non-standard preference functions and penalty function modelling. An extension to a generalised distance metric case is given. The inclusion of multiple levels of classification based upon different levels of certainty is incorporated into the model. The model is tested on a real-life data set pertaining to cinema-going attendance and conclusions are drawn both in the context of the methodology and of the application.