Abstract
We present here an interactive probabilistic inductive learning system and its application to a set of real data. The data consists of a survey of voter preferences taken during the 1988 presidential election in the U.S.A. Results include an analysis of the predictive accuracy of the generated rules, and an analysis of the semantic content of the rules.
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© 1992 Springer Science+Business Media Dordrecht
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Hadjimichael, M., Wasilewska, A. (1992). Rough Sets-Based Study of Voter Preference in 1988 U.S.A. Presidential Election. In: Słowiński, R. (eds) Intelligent Decision Support. Theory and Decision Library, vol 11. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-7975-9_10
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DOI: https://doi.org/10.1007/978-94-015-7975-9_10
Publisher Name: Springer, Dordrecht
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