АВТОМАТИЗИРОВАННАЯ СИСТЕМА НЕЧЕТКОГО ОПРЕДЕЛЕНИЯ КОМПЕТЕНТНОСТИ ЭКСПЕРТОВ ДЛЯ ОЦЕНИВАНИЯ КАЧЕСТВА ПЕДАГОГИЧЕСКИХ ЯВЛЕНИЙ И ПРОЦЕССОВ | Zendy

Hryhorii V. Tereshchuk | Zendy; Ivan M. Tsidylo | Zendy

Open Access

АВТОМАТИЗИРОВАННАЯ СИСТЕМА НЕЧЕТКОГО ОПРЕДЕЛЕНИЯ КОМПЕТЕНТНОСТИ ЭКСПЕРТОВ ДЛЯ ОЦЕНИВАНИЯ КАЧЕСТВА ПЕДАГОГИЧЕСКИХ ЯВЛЕНИЙ И ПРОЦЕССОВ

Author(s) -

Hryhorii V. Tereshchuk,

Ivan M. Tsidylo

Publication year - 2018

Publication title -

information technologies and learning tools

Language(s) - English

Resource type - Journals

ISSN - 2076-8184

DOI - 10.33407/itlt.v64i2.2079

Subject(s) - fuzzy logic , computer science , competence (human resources) , artificial intelligence , fuzzy control system , adaptive neuro fuzzy inference system , numeral system , membership function , machine learning , data mining , mathematics , psychology , social psychology

The article describes the problem of the application of the theory of fuzzy sets to describe the indicators of expert assessment by using linguistic variables instead of numerals or in addition to them. An automated fuzzy system of Sugeno has been developed for determining the competence of an expert. Its input variables are six factors: work experience, academic degree, if any, publications, justification of position as to the discussed problem, knowledge of the achievements in the relevant sphere, knowledge of the essence and objects of work of specialists of a certain area. Simple relations between variables are described using fuzzy statements, complex relationships are described by fuzzy algorithms. In the Simulink environment a fuzzy controller was built on the basis of Sugeno FIS-system, optimized using the anfis function. Testing the controller on a test selection proves the functional suitability of the developed model.

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