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Application of fuzzy sets for control of student knowledge. (English)
Appl. Comput. Math. 10, No. 1, 195-195 (2011).
Summary: This paper describes methods of implementation of a control mechanism of student knowledge with the help of fuzzy set theory combined with neural network technology. The paper proposes an original method for determining the level of knowledge comparable to the traditional teacher questioning. The paper applies some serious improvements in the logic of evaluation of knowledge, and methodologies of data interpretation of student responses. The presented architecture is typical of the configuration of hardware and software in an intranet environment of educational institutions.
Classification: C80 D60
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