Election Results Prediction System based on Fuzzy Logic

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.

FuzzyLogic Mamdani Untuk Menentukan Jumlah Produksi Teh Pada PTPN VII (Persero)

“…Logika fuzzy adalah suatu cara yang tepat untuk memetakan suatu ruang input ke dalam suatu ruang output [2]. Sistem Fuzzy Inference (FIS) menggunakan fuzzy set dan aturan "IF-THEN" yang relevan dengan fuzzy set untuk membuat keputusan tentang informasi yang tidak lengkap atau samar, metode Mamdani dan Sugeno merupakan dua sistem inferensi paling sering sering digunakan di Matlab, algoritma Mamdani digunakan untuk menentukan output [3]. Metode Mamdani sering juga dikenal dengan nama Metode Max-Min [4][5] [6].…”

Election Result Prediction using Spatial Statistical Method

“…In previous works, election results are predicted using fuzzy logic [18]. Autocorrelation methods can be employed to get more accurate results in voting systems.…”

Election Prediction Using Big Data Analytics-A Survey

“…After applying this method it was concluded that this technique plays a pivotal role in election prediction. [37] Harmanjit Singh, et al (2013) designed a simple Graphical user interface (GUI) model based upon fuzzy cognitive maps which is used for predicting the winning chances of a candidate based upon ten different variables. After proper analysis, it was admitted that the proposed model can be used for prediction of the result before the actual result announced, but more parameter needs to be added in order to enhance the better predictability.…”