Abstract
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.
Highlights
Subject area More specific subject area Type of data How data was acquired Data format Experimental factors
Social Sciences Medical education Tables This data was acquired from 200 students of Tehran University of Medical Sciences
Its reliability was approved by Cronbach alpha (α 1⁄4 0.85) for measuring the degree of internal cohesion of questionnaires
Summary
The data on the effective qualifications of teachers in medical sciences: An application of combined fuzzy AHP and fuzzy TOPSIS methods. Article history: Received 17 July 2018 Received in revised form 4 October 2018 Accepted 30 October 2018 Available online 3 November 2018. 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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have