Preprints
https://doi.org/10.5194/gc-2022-16
https://doi.org/10.5194/gc-2022-16
15 Mar 2023
 | 15 Mar 2023
Status: this preprint has been withdrawn by the authors.

Improving the Quality of Education in Water Resources Engineering: A Hybrid Fuzzy-AHP-TOPSIS Method

Mohammad Kazem Ghorbani, Nasser Talebbeydokhti, Hossein Hamidifar, Mehrshad Samadi, Michael Nones, Fatemeh Rezaeitavabe, and Shabnam Heidarifar

Abstract. Improving the quality of education in universities can play a prominent role in the development of countries. The purpose of this study is to develop a methodology for assessing the quality of education in Water Resources Engineering, one of the sub-disciplines of Civil Engineering, based on Klein's learning model and using the hybrid fuzzy-AHP-TOPSIS method. Four out of the top ten universities in Iran, including Iran University of Science and Technology (IUST), Amirkabir University of Technology (AUT), Shiraz University (SU), and Khajeh Nasir al-Din Toosi University of Technology (KUT) are considered as case studies. First, the weight coefficients were determined by surveying the students in the fuzzy environment using the AHP method, and then these coefficients were transferred to the TOPSIS environment. Finally, the relative closeness of universities (CC) as a performance evaluation criterion in the form of CC (IUST) = 0.54, CC (AUT) = 0.49, CC (SU) = 0.45, and CC (KUT) = 0.39 were obtained. The sensitivity analysis was performed based on the number and type of Klein's qualitative criteria on the model, and Fourier series expansion curves were used to observe the exact behavior of the model and better compare the results. This model of evaluation can have a considerable influence on the education methods improvement in Civil Engineering departments and related fields.

This preprint has been withdrawn.

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Mohammad Kazem Ghorbani, Nasser Talebbeydokhti, Hossein Hamidifar, Mehrshad Samadi, Michael Nones, Fatemeh Rezaeitavabe, and Shabnam Heidarifar

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on gc-2022-16', Aydin Shishegaran, 11 May 2023
    • AC1: 'Reply on CC1', Hossein Hamidifar, 15 May 2023
  • RC1: 'Comment on gc-2022-16', Anonymous Referee #1, 04 Jun 2023
    • AC2: 'Reply on RC1', Hossein Hamidifar, 20 Jun 2023
  • RC2: 'Comment on gc-2022-16', Sebastian G. Mutz, 08 Jun 2023
    • AC3: 'Reply on RC2', Hossein Hamidifar, 20 Jun 2023

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on gc-2022-16', Aydin Shishegaran, 11 May 2023
    • AC1: 'Reply on CC1', Hossein Hamidifar, 15 May 2023
  • RC1: 'Comment on gc-2022-16', Anonymous Referee #1, 04 Jun 2023
    • AC2: 'Reply on RC1', Hossein Hamidifar, 20 Jun 2023
  • RC2: 'Comment on gc-2022-16', Sebastian G. Mutz, 08 Jun 2023
    • AC3: 'Reply on RC2', Hossein Hamidifar, 20 Jun 2023
Mohammad Kazem Ghorbani, Nasser Talebbeydokhti, Hossein Hamidifar, Mehrshad Samadi, Michael Nones, Fatemeh Rezaeitavabe, and Shabnam Heidarifar
Mohammad Kazem Ghorbani, Nasser Talebbeydokhti, Hossein Hamidifar, Mehrshad Samadi, Michael Nones, Fatemeh Rezaeitavabe, and Shabnam Heidarifar

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Short summary
A methodology is developed for assessing the quality of education in Water Resources Engineering as a sub-discipline of Civil Engineering. It is based on Klein's learning model and using the hybrid fuzzy-AHP-TOPSIS method. The relative closeness of universities as a performance evaluation criterion was obtained. The sensitivity analysis was performed based on some qualitative criteria on the model. This model of evaluation can have a considerable influence on the education improvement.
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