A classification model based on goal programming with non-standard preference functions with application to the prediction of cinema-going behaviour
European Journal of Operational ResearchPublished 4 March 2006
Dylan Jones, Alan Collins, Chris Hand
Citations18
SJR quartileQ1
SJR score2.24
SNIP2.62
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TL;DR
A goal programming model based around the concepts of non-standard preference functions and penalty function modelling that allows for the flexible handling of the two group classification problem is presented.
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.
Keywords
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