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 isnecessary to deal with complex decision making problems which also involve humanexperiences. Some researches suggest that senior management usually makes intuitivedecisions in the process of selecting the candidates in political parties which brings outthe need to derive a new efficient robust and applicable method.In this study the qualitative characteristics and their significance level which could beused for the candidate selection process in political parties are determined. Thecandidate selection process consisting vague inputs is analyzed by fuzzy logicmethodology and a quantitative final score has been determined for the candidate. It hasbeen shown that the model provided some realistic and promising results which couldenable further studies to derive more optimized and enhanced models for similarpurposes.