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首页> 外文期刊>International Journal of Engineering Research and Applications >Fuzzy Expert Model for Evaluation of Faculty Performance in Technical Educational Institutions
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Fuzzy Expert Model for Evaluation of Faculty Performance in Technical Educational Institutions

机译:工科院校教师绩效评价的模糊专家模型

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In developing countries, higher education is seen as an essential means for creation and development of resources and for improving the life of people to whom it has to serve. Worldwide National policies on higher education are been given increasing importance to improve the quality of education on offer. Consequently, the evaluation of Faculty performance in teaching activity is especially relevant for the academic institutions. It helps to define efficient plans to guarantee quality of teachers and the teaching learning process. In this paper, an optimization Evolution model for academic performance of the faculty's in technical institutions based on teaching activity series of qualitative reports is presented. We have proposed a Fuzzy Expert System for evaluating teachers overall performance based on fuzzy logic techniques under uncertain facts in the decision making process. A suitable fuzzy inference mechanism and associated rules are been discussed. It introduces the principles behind fuzzy logic and illustrates how these principles could be applied by educators to evaluating faculty's performance. This model will help to write the Annual Confidential Reports of all the employees of an organization.
机译:在发展中国家,高等教育被视为创造和开发资源并改善其所服务人群的生活的必不可少的手段。世界范围内的国家高等教育政策越来越被重视,以提高所提供的教育质量。因此,对教师在教学活动中的绩效评估与学术机构特别相关。它有助于定义有效的计划,以保证教师的素质和教学学习过程。本文基于定性报告的教学活动系列,提出了技术学院教师学术绩效的优化演化模型。我们提出了一个模糊专家系统,用于在决策过程中基于不确定逻辑,基于模糊逻辑技术评估教师的整体表现。讨论了合适的模糊推理机制和相关规则。它介绍了模糊逻辑背后的原理,并说明了教育工作者如何将这些原理应用于评估教师的绩效。该模型将有助于编写组织所有员工的年度机密报告。

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