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Election Results Prediction System based on Fuzzy Logic
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 53 - Number 9 |
| Year of Publication: 2012 |
| Authors: Harmanjit Singh, Gurdev Singh, Nitin Bhatia |
10.5120/8450-2245
|
Harmanjit Singh, Gurdev Singh, Nitin Bhatia . Election Results Prediction System based on Fuzzy Logic. International Journal of Computer Applications. 53, 9 ( September 2012), 30-37. DOI=10.5120/8450-2245
Abstract
Election is very popular word in the universe. As per the definition, Election is a process to select suitable from a group of candidates. But the process and properties may vary for different sectors. It has different types. Like local election, legislative election, parliamentary election, presidential election, senate election or election in a small group / union. As election is very famous same way election prediction is again not a new keyword. It has same long life as election. But still there is a challengeable task to predict accurate result. The use of fuzzy logic in social science to evaluate the prediction is the core part of this paper. A toolbox from MATLAB software named fuzzy logic toolbox is used for this purpose. Some input arguments are being considered which scaled using linguistic variables to predict the chances of winning along with chances of losing of a candidate.
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