Abstract

The banks serve in a highly dynamic and competitive environment and need to systematically evaluate their performance to improve their competitiveness. Performance evaluation is an important and complex process that requires flexible and analytic methods while handling the multidimensionality of the problem. This study presents a hybrid multi-criteria performance evaluation model for banking sector which combines two multi-criteria decision making methods that are simulation-integrated hesitant fuzzy linguistic term sets-based analytic hierarchy process method to determine the importance level of each criterion according to the decision makers’ subjective judgements and grey relational analysis method to rank bank regions according to their performance values. The presented model is based on both probability theory and fuzzy sets theory and thus better represents all the dimensions of the uncertainty inherent in decision making process. A real-life application of the proposed performance evaluation model for a private bank operating in agricultural banking sector in Turkey is also given to illustrate the effectiveness and the applicability of the model.

中文翻译：

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银行区域绩效评估的新型多准则分析模型：在土耳其农业银行业中的应用

摘要

银行在充满活力的竞争环境中服务，需要系统地评估其绩效以提高竞争力。绩效评估是一个重要而复杂的过程，在处理问题的多维性时需要灵活的分析方法。本研究提出了一种用于银行业的混合多准则绩效评估模型，该模型结合了两种多准则决策方法，该方法是基于仿真的犹豫模糊语言学术语集的层次分析法，根据该准则确定每个准则的重要性级别。决策者的主观判断和灰色关联分析方法，根据其绩效值对银行区域进行排名。所提出的模型基于概率论和模糊集理论，因此可以更好地表示决策过程中固有的不确定性的所有维度。还针对土耳其在农业银行业经营的一家私人银行，对拟议的绩效评估模型进行了实际应用，以说明该模型的有效性和适用性。