Using Fuzzy Logic in Knowledge Tests

نویسندگان

  • Aleksandr Alekseev
  • Marika Aleksieieva
  • Kateryna Lozova
  • Tetiana Nahorna
چکیده

An article describes the specialties of nonlinear scale formation of coincidence of standard answer with student’s answer, basing on application of fuzzy logic during the test control of knowledge. It is given the detailed exposition of the mathematical apparatus that is used for substantiation the decisionmaking on the formation of the coincidence scale of answers. The author notes that using of the coincidence scale of answers gives the student an opportunity to express doubt and specify any degree of true answer ranging from “False” to “True”. In this case test results are measured in the opposite terms from clear to fuzzy logic when the final mark is determined by the match of the answers. For example, if reference answer is equal to student’s one it means that he/she knows the materials, and vice versa if the reference answer does not match, student does not know the topic. There are some types of the test tasks in the testing with using the coincidence scale of answers. The article describes the peculiarities off the parameter assignment of strictness the fuzzy-logic system. The results of experimental verification of the proposed innovations’ effectiveness are given. These results allow stating the improvement of the measurement capabilities off the test with using the coincidence scale of answers basing on application of fuzzy logical calculations.

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تاریخ انتشار 2015