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Evaluation of Corporate Social Responsibility using Fuzzy Expert System

机译:基于模糊专家系统的企业社会责任评价

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This study aims to evaluate the score of corporate social responsibility for the part-making companies of East Azerbaijan in Iran. The number of part-making companies is 170 in this province where 50 companies are chosen randomly. For gathering data, a questionnaire with 24 questions is developed based on the viewpoint of Carroll and colleagues and the validity and reliability of this questionnaire is tested and approved. A model is designed for evaluating the score of social responsibility based on fuzzy logic. This model involves five stages. First, a fuzzy system is designed. In the second stage, inputs and output are converted to fuzzy number. Then, inference rules are explained. In the fourth stage, defuzzification is done and the model is tested in the fifth stage. The results indicate that the score of social responsibility is in average level for companies under study.
机译:这项研究旨在评估伊朗东阿塞拜疆的零部件制造公司的企业社会责任评分。该省的零件制造公司数量为170,其中随机选择了50家公司。为了收集数据,根据Carroll和同事的观点开发了一个包含24个问题的问卷,并对该问卷的有效性和可靠性进行了测试和认可。设计了一种基于模糊逻辑的社会责任评价模型。该模型涉及五个阶段。首先,设计了一个模糊系统。在第二阶段,将输入和输出转换为模糊数。然后,解释推理规则。在第四阶段,完成了模糊化处理,并在第五阶段测试了模型。结果表明,所研究公司的社会责任得分处于平均水平。

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