A Novel Hybrid Fuzzy AHP-GA Method for Test Sheet Question Selection

Murat İnce (), Tuncay Yiğit () and Ali Hakan Işik ()
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Murat İnce: Vocational School of Technical Sciences, Isparta University of Applied Sciences, Çünür West Campus, Isparta 32260, Turkey
Tuncay Yiğit: Department of Computer Engineering, University of Suleyman Demirel, Çünür West Campus, Isparta 32200, Turkey
Ali Hakan Işik: Department of Computer Engineering, University of Mehmet Akif Ersoy, İstiklal Campus, Burdur 15030, Turkey

International Journal of Information Technology & Decision Making (IJITDM), 2020, vol. 19, issue 02, 629-647

Abstract: The use of web-based education and e-learning environments has increased with the developments in educational technology. Schools, universities, public institutions, and other private sector companies started deploying these systems to train their students, members, and employees. Exams are carried out during the evaluation process of these trainings. Web-based tests are sometimes used for these exams. When there are so many questions about the same topic, it is a time-consuming and difficult problem to prepare these exams in terms of the best quality, quickly and effectively. In order to overcome this issue, artificial intelligence techniques are utilized as well as conventional methods for producing test papers. In this study, an Intelligent Question Evaluation and Selection Software (I-QUESS), that enables the selection of questions according to desired preferences by using Fuzzy Analytic Hierarchy Process (FAHP) and genetic algorithm (GA) as hybrid, was developed. This proposed hybrid system was used in a case study to create test sheet for web-based environments.

Keywords: Fuzzy analytic hierarchy process; genetic algorithm; decision-making; test sheet composition; recommendation system (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1142/S0219622020500054

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