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The data on the effective qualifications of teachers in medical sciences: An application of combined fuzzy AHP and fuzzy TOPSIS methods

机译:医学教师有效资格的数据:模糊层次分析法和模糊TOPSIS法相结合的应用

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摘要

In this data article, hybrid fuzzy Analytic Hierarchy Process (AHP) and fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) were used to prioritize the effective qualifications of teachers of medical courses at university from the viewpoint of students of allied medicine school in Tehran University of Medical Sciences in 2013–2014. To obtain data, 200 students of allied medicine school of Tehran University of Medical Sciences were selected using random sampling method, and surveyed according to Cochran׳s formula. Data collection tools were two research-based questionnaires divided to technical, professional and individual parts. Content validity was approved by the experts. Reliability was confirmed by calculating the Cronbach׳s alpha (α=0, 85) in order to measure the degree of internal cohesion.
机译:在本文中,从联盟医学生的角度出发,使用混合模糊层次分析法(AHP)和基于理想解决方案的相似度优先排序的模糊技术(TOPSIS)来对大学医学课程教师的有效资格进行优先排序。 2013-2014年在德黑兰医科大学医学院学习。为了获得数据,使用随机抽样方法选择了德黑兰医科大学附属医学院的200名学生,并根据Cochran公式进行了调查。数据收集工具是两个基于研究的问卷,分为技术,专业和个别部分。内容有效性经专家认可。通过计算Cronbach's alpha(α= 0,85)来确定内部可靠性,从而确定其可靠性。

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