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

DOI10.1016/j.ejor.2005.11.014zbMath1111.90360OpenAlexW2033762198MaRDI QIDQ856243

N. E. Zubov

Publication date: 7 December 2006

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2005.11.014

zbMATH Keywords

pattern classificationgoal programmingdata miningcinema goingnon-standard preference functions

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29)

Related Items (5)

Multi-criteria decision analysis with goal programming in engineering, management and social sciences: a state-of-the art review ⋮ Synergies between operations research and data mining: the emerging use of multi-objective approaches ⋮ A practical weight sensitivity algorithm for goal and multiple objective programming ⋮ Synergies of operations research and data mining ⋮ Forecasting accuracy of behavioural models for participation in the arts

Cites Work

• Simple but powerful goal programming models for discriminant problems
• Pattern classification by linear goal programming and its extensions
• Improving prediction performance of neural networks in pattern classification
• A Class of Solutions for Group Decision Problems

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