Intelligent System for Knowledge Estimation on the Base of Mixed Diagnostic Tests and Elements of Fuzzy Logic

Anna E. Yankovskaya and Mikhail E. Semenov


Intelligent system, pattern recognition, mixed diagnostic tests, quality control, education


The relevance of computer-based testing of students, as well as the currently existing approaches for the control of knowledge and training are discussed. Construction of mixed diagnostic tests, representing a compromise between unconditional and conditional components, in order to create an intelligent system for monitoring of students' knowledge is proposed. The authors suggest a technique for construction of optimal mixed diagnostic tests only on the basis of expert knowledge about the subjects under control. Decision-making carry out with using of elements of fuzzy logic.

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