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A Proposed Model for Candidate Selection Process in Political Parties Based on Fuzzy Logic Methodology

机译:基于模糊逻辑方法的政党候选人Can选过程模型

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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 fur
机译:当需要处理复杂的决策问题时(包括人类经验),经典逻辑和经典集合定理是不够的。一些研究表明,高级管理人员通常在选择政党候选人的过程中做出直观的决定,这导致需要寻求一种新的有效,稳健和适用的方法。本研究确定了可用于政党候选人甄选过程的定性特征及其重要性水平。通过模糊逻辑方法分析包含模糊输入的候选人选择过程,并为候选人确定定量的最终分数。结果表明,该模型提供了一些现实和有希望的结果,可以使

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