Abstract
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
Original language | English |
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Pages (from-to) | 515-524 |
Number of pages | 10 |
Journal | European Journal of Operational Research |
Volume | 177 |
Issue number | 1 |
DOIs | |
Publication status | Published - 1 Mar 2007 |