TRAINING AND EVALUATION ALGORITHM IMPROVEMENT IN NONRIGOROUS DATA ABUNDANCE

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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