A proposed model for candidate selection process in political parties based on fuzzy logic methodology

Abstract

Classical logic and classical set theorems are not sufficient enough when it is necessary to deal with complex decision making problems which also involve human experiences. Some researches suggest that senior management usually makes intuitive decisions in the process of selecting the candidates in political parties which brings out the need to derive a new efficient robust and applicable method. In this study the qualitative characteristics and their significance level which could be used for the candidate selection process in political parties are determined. The candidate selection process consisting vague inputs is analyzed by fuzzy logic methodology and a quantitative final score has been determined for the candidate. It has been shown that the model provided some realistic and promising results which could enable further studies to derive more optimized and enhanced models for similar purposes. © 2020 Elsevier B.V. All rights reserved.