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

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

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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: , ,
Keywords: programming: goal, forecasting: applications, datamining
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.

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