Fuzzy Inference System Model Suggestion For Evaluating Voter Preferences: A Research For General Local Elections

Many factors such as cultural, economic, regional, political, psychological and sociological that affect voter preferences determine the results of the General Parliamentary Elections and General Local Elections. Therefore, analyzing the factors affecting voters' preferences will positively improve the work of political parties. In the scientific studies on elections in Turkey in the last 20 years, evaluations have been mostly statistical analysis. This research, to evaluate voter preferences in General Local Elections from a different perspective, proposed a General Local Elections-Fuzzy Inference System (GLE-FIS) model by using Fuzzy Inference Systems. In the proposed model, “Candidate's Projects”, “Candidate's Party”, “Fulfillment Level of Current Mayor's Promises”, “Party Leader's Charisma”, and” Candidate’s Communication” were accepted as input variables, "Candidate's Election Status" was accepted as output variable and fuzzy rules were defined using these variables. An illustrative example was then made for testing the proposed model. Additionally, based on the rules of the proposed model, pairwise comparisons of the variables affecting the Candidate's Election Status were made and a priority ranking was achieved among the factors affecting the voting behavior of the voters.


Election Prediction, Fuzzy Logic, Fuzzy Inference System, General Local Elections.