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.

中文翻译：

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一种新的混合模糊 AHP-GA 测试表问题选择方法

随着教育技术的发展，基于网络的教育和电子学习环境的使用有所增加。学校、大学、公共机构和其他私营部门公司开始部署这些系统来培训他们的学生、成员和员工。在这些培训的评估过程中进行考试。这些考试有时会使用基于 Web 的测试。当同一主题有这么多问题时，要以最佳质量、快速有效地准备这些考试是一个耗时且困难的问题。为了克服这个问题，使用人工智能技术以及制作试卷的传统方法。在这项研究中，智能问题评估和选择软件（I-QUESS），通过使用模糊层次分析法 (FAHP) 和遗传算法 (GA) 作为混合，可以根据所需的偏好选择问题。这个提议的混合系统被用于一个案例研究，为基于 Web 的环境创建测试表。