ADAPTIVE TESTING SYSTEM BASED ON THE FUZZY LOGIC
Journal Title: Електроніка та системи управління - Year 2018, Vol 2, Issue 56
Abstract
In this articl, the system analysis of the subject area of the evaluating the test results problem is performed, as a result of which it is classified into clear and fuzzy concepts and relations of the problem, which allowed choosing the fuzzy logic apparatus as the main formalism of the problem solution. Scaling for all linguistic variables of the problem, which allowed to determine their term set reasonably was performed. The fuzzy logic structure was given. The structure of fuzzy logic inference was considered. The principle of constructing fuzzy rules, which allowed to develop production rules for assessing the trainee’s knowledge level using specified input and output linguistic variables is considered. The stages of usage fuzzy logic in the knowledge assessment adaptive testing system was considered. Structure of the knowledge assessment system with fuzzy logic was given. The scheme for submitting questions to the trainee is considered. The structure of adaptive testing system using fuzzy logic is developed.The results of applying adaptive testing in the knowledge assessment of the experimental and control groups of trainees are presented. Based on the obtained results, the effectiveness of adaptive testing based of the fuzzy logic in the process of trainee’s knowledge assessment is shown.
Authors and Affiliations
Victor Sineglazov, Alona Kusyk
Keywords
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- EP ID EP523078
- DOI 10.18372/1990-5548.56.12941
- Views 159
- Downloads 0
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