Abstract: 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. Today, there are almost three million apps only at the Google Play store. 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. 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. Moreover, using multi-criteria decision-making methods (MCDM) is only recently applied in rare studies for that purpose. This paper focused on ISO/IEC 25010 software quality standards in selecting mobile Mathematics learning applications. Six highly rated applications were evaluated by two experts. 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. The results showed an objective and flexible assessment for ranking to eliminate ambiguity in decision-making. Results also identified significant features thus rendering a useful and valuable tool for decision-makers. The study assists users, teachers/instructors, students in their decision-making processes regarding finding the most suitable application for Mathematics.

Seren Basaran and Firass El Homsi, “Mobile Mathematics Learning Application Selection using Fuzzy TOPSIS” International Journal of Advanced Computer Science and Applications(IJACSA), 13(2), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130233

@article{Basaran2022,
title = {Mobile Mathematics Learning Application Selection using Fuzzy TOPSIS},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0130233},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0130233},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {2},
author = {Seren Basaran and Firass El Homsi}
}