Institutions could be longstanding if they are consistent with well-defined strategies. Self-assessment activities are among the significant ways to identify the level of reaching strategic objectives of institutions. In recent studies, different TQM models were presented to evaluate organizational performance. The European Foundation for Quality Management (EFQM) excellence model is a commonly used model for self-assessment. In this study, Fuzzy EFQM (FEFQM) model is proposed in order to minimize the calculation deviation of expert opinions and to measure the level of institutionalization more consistently. 'If- then' the rules were produced by utilizing the CN2 induction algorithm in accordance with the current rule base, due to the implementation of Matlab fuzzy logic toolbox takes long time and it has some reliability issues. Two various Fuzzy EFQM models have been established on the basis of the CN2 algorithm with various aggregation methods such as max and sum, in other words, FEFQM_CN2/max and FEFQM_CN2/sum. The models were applied to 10 institutions and comparisons were made with classical EFQM and FEFQM models. As a result, the FEFQM_CN2/sum model and the classical EFQM excellence model score were found by the Mean Absolute Percentage Error as 2.33%. In accordance with the experimental findings, it is thought the model can be used as a guide for EFQM assessors and policy makers.

如果机构与明确制定的策略保持一致，则它们可能会长期存在。自我评估活动是确定达到机构战略目标水平的重要方法之一。在最近的研究中，提出了不同的TQM模型来评估组织绩效。欧洲质量管理基金会（EFQM）卓越模型是一种用于自我评估的常用模型。在本研究中，提出了模糊EFQM（FEFQM）模型，以最小化专家意见的计算偏差并更一致地衡量制度化水平。“如果-那么”规则是根据当前规则库利用CN2归纳算法生成的，这是由于Matlab模糊逻辑工具箱的实现需要花费很长时间并且存在一些可靠性问题。_{CN2 / max}和FEFQM _{CN2 / sum}。该模型已应用于10个机构，并与经典EFQM和FEFQM模型进行了比较。结果，FEFQM _{CN2 / sum}模型和经典EFQM卓越模型得分由平均绝对百分比误差得出为2.33％。根据实验结果，认为该模型可以用作EFQM评估者和决策者的指南。