Student Engagement And Attitude in Mathematics Achievement Using Single Valued Neutrosophic Set

Abstract

Generalization of the Fuzzy set and Intuitionistic Fuzzy set concept is called as Neutrosophic set which is a powerful general formal framework. The components in Neutrosophic set has a degree of truth (T), indeterminacy (I) and falsity (F). The value of this components are between [0,1], respectively. A Neutrosphic set has a general formal framework for analysing uncertainty in data set or undetermined information. Not only uncertainty, Neutrosophic set can also analyse large information sets or big data sets as well. Single Valued Neutrosophioc sets (SVNs) was introduce to be used expediently to deal with real problems and it is appropriate in solving data mining problem and make a decision for the problem. In this paper, Single Valued Neutrosophic set (SVNs) was proposed to measuring factors impact on student engagement and attitude in mathematics achievement based on Trends in International Mathematics and Science Study TIMSS 2015 for ASEAN countries and use the data to illustrate the applicability of the proposed factors similarity measures in decision making. The result shows that the factor which is Confidence in Mathematics include in highly acceptable zone in students’ engagement and attitude in Mathematics Achievement for ASEAN countries.