The selection of sites for setting up a new university depends on multiple criteria. Site selection for an institute or a university is a challenging task. Considering the results obtained, it can be said that the use of MCDM techniques in such decision problems can facilitate the work of decision-makers.
As a result, the Desmos: Graphing Calculator application was found to rank first among the 13 EMMAs in order of importance. The results obtained from an evaluation using 10 criteria (4 evaluator-independent, 6 evaluator-dependent) were analysed with MATLAB. In this context, it was aimed to determine which of the 13 considered EMMAs that work on Android-based tools and were proposed by experts according to certain features were most effective with the help of the TOPSIS algorithm, one of the popular MCDM methods. Therefore, in this study, multi-criteria decision-making (MCDM) techniques, which are effectively used in a wide variety of disciplines, were applied to choose among alternative applications according to specified criteria. The number and variety of educational mathematics mobile applications (EMMAs) make it difficult to select mobile applications for mathematics learning and teaching. The study assists users, teachers/instructors, students in their decision-making processes regarding finding the most suitable application for Mathematics. Results also identified significant features thus rendering a useful and valuable tool for decision-makers. The results showed an objective and flexible assessment for ranking to eliminate ambiguity in decision-making. This paper aims to apply the fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to retrieve the best alternative among present applications.
Six highly rated applications were evaluated by two experts. This paper focused on ISO/IEC 25010 software quality standards in selecting mobile Mathematics learning applications. Moreover, using multi-criteria decision-making methods (MCDM) is only recently applied in rare studies for that purpose. Despite the sudden growth in mobile learning applications, there exists a dearth of research in the effective way of selecting a suitable mobile application in that respect particularly in relation to mobile apps for Mathematics. Therefore, the need for an automated, effective, and less time-consuming approach towards suitable mobile application selection to choose the best alternative has gained more significance than ever. Today, there are almost three million apps only at the Google Play store. Impressive evolution of technology increased the usage frequency of smart mobile phones, and hence abundance in the quantity of available mobile applications has emerged as the vital problem of inventing practical and efficient ways for selecting suitable mobile applications for the desired use.
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