Fuzzy Measures for Students’ Mathematical Modelling Skills

نویسنده

  • Michael Gr. Voskoglou
چکیده

MM is one of the central ideas in the nowadays mathematics education. In an earlier paper applying ideas from fuzzy logic we have developed a model formalizing the MM process and we have used the total possibilistic uncertainty as a measure of students’ MM capacities. In the present paper we develop two alternative fuzzy measures for MM. The first of them concerns an adaptation for use in a fuzzy environment of the well known Shannon’s formula for measuring a system’s probabilistic uncertainty. The second one is based on the idea of the center of mass of the represented a fuzzy set figure, that is commonly used in fuzzy logic approach to measure performance. The above (three in total) fuzzy measures for MM are compared to each other and a classroom experiment presented in our earlier paper is reconsidered here illustrating our results in practice.

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تاریخ انتشار 2012