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Fuzzy MCDM in election prediction

Authors: Gleiber Fernandes Royes; Rogério Cid Bastos;

Fuzzy MCDM in election prediction

Abstract

The application of fuzzy logic (FL) in traditional fields like engineering, medicine or finance has become a common practice, however in social sciences, mainly in politics, the utilization of FL can be intensely explored. Joining fuzzy logic with multiple criteria decision making (MCDM), the natural, complex and uncertain criteria of political problems can be adequately treated. The practical result of the research is a computational system for election forecasting.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Top 10%
Top 10%
Average
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