ITHEA® International Journal
"Information Theories and Applications"
2022, Volune 29, Nimber 2
A Hybrid Approach for Assessing Problem Solving Skills under Fuzzy Conditions
Michael Gr. Voskoglou
Copy Citation Text:
Michael Gr. Voskoglou, "A Hybrid Approach for Assessing Problem Solving Skills under Fuzzy Conditions" IJ ITA, Vol. 29, Issue 2, pp. 103-128. (2022)
DOI: https://doi.org/10.54521/ijita29-02-p01
Abstract:
Volumes of research have been written about problem solving, which is one of the most important components of the human cognition affecting the progress of the human society for ages. In this work a hybrid method is applied for the assessment of a student group’s problem solving skills with qualitative grades (i.e. under fuzzy conditions). Namely, soft sets are used as tools for a parametric assessment of the 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 obtained by some (or all) students of the group
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