The development of information and communication technologies has revolutionized and changed the way we do business in various areas. The field of education did not remain immune to the mentioned changes; there was a gradual integration of the educational process and the mentioned technologies. As a result, platforms for distance learning, as well as the organization of e-learning courses of various types, have been developed. The rapid development of e-learning courses has led to the problem of e-learning course selection and evaluation. The problem of the e-learning course selection can be successfully solved by using multiple-criteria decision-making (MCDM) methods. Therefore, the aim of the paper is to propose an integrated approach based on the MCDM methods and symmetry principles for e-learning course selection. The pivot pairwise relative criteria importance assessment (PIPRECIA) method is used for determining the weights of criteria, and the interval-valued triangular fuzzy additive ratio assessment (ARAS) method is used for the ranking of alternatives i.e., e-learning courses. The suitability of the proposed integrated model is demonstrated through a numerical case study.

中文翻译：

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一种新的集成 PIPRECIA-区间值三角模糊 ARAS 模型：电子学习课程选择

信息和通信技术的发展彻底改变了我们在各个领域开展业务的方式。教育领域并没有不受上述变化的影响；教育过程与上述技术逐渐融合。因此，已经开发了远程学习平台以及各种类型的电子学习课程的组织。e-learning课程的快速发展导致了e-learning课程选择和评估的问题。使用多标准决策（MCDM）方法可以成功解决电子学习课程选择的问题。因此，本文的目的是提出一种基于 MCDM 方法和对称原则的电子学习课程选择的综合方法。枢轴成对相对标准重要性评估（PIPRECIA）方法用于确定标准的权重，区间值三角模糊加性比率评估（ARAS）方法用于替代品的排名，即电子学习课程。通过数值案例研究证明了所提出的集成模型的适用性。