IMPROVING THE EVALUATION ALGORITHM IN THE ABUNDANCE OF NON-RIGOROUS DATA

Authors

  • K.I. Kalimbetov
  • M.O. Adilbaeva
  • D.A. Ómirbaeva

Abstract

in the article, methods of solving the problems of decision-making in teaching
and assessment are beaten in conditions of an abundance of information that is not strict
in assessing the knowledge, skills and abilities of students in the effective assimilation of
classes. In this article, it is to develop a more flexible methodology for rating assessment
based on the use of fuzzy logic in attracting specialists and assessing the quality of
questions.

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Published

2024-06-27