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A classification model based on goal programming with non-standard preference functions with an application to the prediction of cinema-going

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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 languageEnglish
Pages (from-to)515-524
Number of pages10
JournalEuropean Journal of Operational Research
Issue number1
Publication statusPublished - 1 Mar 2007

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