A Hybrid Method for Assessing Student Mathematical Modelling Skills under Fuzzy Conditions

Mathematical modelling (MM) appears today as a valuable tool in mathematics education, which connects mathematics with everyday life situations on the purpose of increasing the student interest on the subject. In this paper a hybrid method is applied for the assessment of student groups’ MM skills with qualitative grades (i.e. under fuzzy conditions). Namely, soft sets are used as tools for a parametric assessment of a group’s performance, the calculation of the GPA index and the Rectangular Fuzzy Assessment Model are applied for evaluating the group’s qualitative performance, grey numbers are used as tools for assessing the group’s mean performance and neutrosophic sets are utilized when the teacher is not sure about the individual grades assigned to some (or all) students of the group.