Using Discriminant Analysis to Students’ Aggregate Knowledge Assessments in Nominal Scales

Author:

Bagretsov Sergey1,Mishchenko Eduard2,Rozanova Lyudmila1

Affiliation:

1. Mozhaisky Military Space Engineering Academy

2. A.F. Mozhaisky Military Space Academy

Abstract

A method for determining the parameters of a fuzzy discriminant function from a set of diagnostic test results is considered. These tests are the basis of the training sample for controlling the level of knowledge in nominal rating scales in automated learning systems. The fuzziness of measuring the results of solving control problems, as well as the classification of objects in the training sample, is taken into account. The method has a specific versatility and allows building similar diagnostic procedures for objects of different physical nature.

Publisher

Bryansk State Technical University BSTU

Subject

General Medicine

Reference11 articles.

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