A Comparative Analysis of Applied FMADM in a Serious Games Evaluation Model

In recent years, Serious Games are being used as an innovative pedagogical strategy to achieve more effective learning in various fields of knowledge, but in order to use them effectively, it is essential to evaluate them systematically to obtain solid evidence of their impact. To this end, the integration of fuzzy multi-attribute decision making (FMADM) methods will be beneficial for the evaluation of Serious Games in order to weight their evaluation criteria according to the desired context, as these FMADMs have the capacity to take into account the imprecision and uncertainty of human judgements. In this paper, we will present a comparative analysis of various fuzzy multi-attribute decision making (FMADM) techniques, namely the fuzzy DEMATEL and fuzzy SWARA methods applied in the Serious Games evaluation model in which the fuzzy AHP method has been used. In order to find the ranking of various dimensions responsible for better decision making and the ability to accurately reflect human judgment for the evaluation of Serious Games in a given context. According to the results obtained, we find that the fuzzy AHP method was the best suited to our decision problem, despite the identical ranking of the criteria obtained.