Web conferencing software selection with interval-valued fuzzy parameterized intuitionistic fuzzy soft sets

Abstract

Since COVID-19 has become a pandemic, education has been interrupted in many countries, and training has been temporarily resumed on online platforms. But it is difficult to determine which of the many existing web (or video) conferencing software is more suitable for class education. The aim of this study is to sort these platforms according to the criteria determined by experts and select the best one among different alternatives by using interval-valued fuzzy parameterized intuitionistic fuzzy soft sets. In the application, seven experts determined the six criteria and their interval-valued fuzzy weights depending on educational needs. The decision makers are evaluated ten video conferencing tools for educational institutions by using interval-valued fuzzy parameterized intuitionistic fuzzy soft sets. Finally, using the proper operators, the alternatives are sorted and the best video conferencing tool for class education. The results are intended to guide future research.