A NON-CLASSICAL APPROACH IN SELECTION OF A FEASIBLE CANDIDATE FOR CONTESTING IN AN ELECTION USING FUZZY LOGIC
Abstract
When it comes to dealing with complicated decision-making situations that also entails emotional circumstances, traditional reasoning and conventional theories are ineffective. Here, a strong emphasis on the choice of candidates depending on the degree of inclusivity and decentralization of the electorate is considered. According to certain studies, the highest level of management typically makes instinctive choices when choosing candidates for political parties, which highlights the significance for developing a fresh, effective methodology. The present investigation identifies the qualitative traits and the degree to which they are significant for the selection of candidates by political parties. Fuzzy logic approach is used to analyse the candidate selection process, which includes ambiguous inputs, and a candidate's ultimate score has been quantified. The formal regulations established by parties that limit the pool of candidates and the (informal) preferences of selectors that influence who is selected are the two angles from which the selection criteria are examined in this study. It has been demonstrated that the model produced some plausible and encouraging results, which may allow future research to produce more optimized and improved models for related objectives
Keyword : Fuzzy Logic, Candidate Selection, Political Parties, Qualitative Weights
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
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