A computational quantitative model based on weighted Euclidean distance-based approximation and complex proportional assessment has been developed for the evaluation, selection, and ranking of various E-learning websites in ascending or descending order based on their Euclidean distance value from the optimal website. The E-learning website with rank 1 is considered the optimal selection on the particular dataset under consideration. The problem of the E-learning website Selection, Evaluation and Ranking is modeled as a multiattribute decision-making problem in which various interrelated attributes collectively termed as ranking criteria are identified to make the evaluation of available alternatives. In this research, 5 most popular E-learning websites related to the C programming language for the software development have been considered to show the utility of developed model. Further, the concept of methodology validation strengthens this research by comparing the obtained results with the existing multiattribute decision-making approach as analytical hierarchy process method.

中文翻译：

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使用多属性决策方法优化电子学习网站

已经开发了一种基于加权欧几里得距离近似值和复杂比例评估的计算定量模型，用于基于从最佳网站的欧几里得距离值对各种电子学习网站的升序或降序进行评估，选择和排名。等级为1的电子学习网站被认为是所考虑的特定数据集的最佳选择。电子学习网站的选择，评估和排名问题被建模为一个多属性决策问题，其中识别了各种相互关联的属性，这些属性被统称为排名标准，以评估可用的替代方案。在这项研究中 已经考虑了5个与C编程语言相关的软件开发最流行的在线学习网站，以显示开发模型的实用性。此外，方法论验证的概念通过将获得的结果与作为分析层次结构过程方法的现有多属性决策方法进行比较来加强这项研究。