Abstract
The aim of the paper is to apply some inductive learning method from examples (which gives explicit decision rules of “if-then” type) to forecast the voting behaviour of individual members of the Polish Parliament. Results obtained are both interesting and promising.
Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.References
J. Holubiec, A. Malkiewicz, M. Mazurkiewicz, J. Mercik and D. Wagner, Identification of ideological dimensions under fuzziness. The case of Poland, in: Consensus under Fuzziness(Kluwer Academic, Boston, 1997).
G. Szkatula, Machine learning from examples under errors in data, Ph.D. thesis, SRI PAS Warsaw, Poland (1996).
Rights and permissions
About this article
Cite this article
Szkatuła, G., Hołubiec, J. & Wagner, D. Forecasting voting behaviour using machine learning – Poland in transition. Annals of Operations Research 97, 31–41 (2000). https://doi.org/10.1023/A:1018944728371
Issue Date:
DOI: https://doi.org/10.1023/A:1018944728371