Open AccessAUTOMATED SYSTEM OF FUZZY IDENTIFICATION OF EXPERT’S COMPETENCE FOR ASSESSING THE QUALITY OF PEDAGOGICAL PHENOMENA AND PROCESSES
Author(s) -
Hryhorii V. Tereshchuk,
Ivan M. Tsidylo
Publication year - 2018
Publication title -
ìnformacìjnì tehnologìï ì zasobi navčannâ
Language(s) - English
Resource type - Journals
ISSN - 2076-8184
DOI - 10.33407/itlt.v64i2.2079
Subject(s) - fuzzy logic , competence (human resources) , computer science , artificial intelligence , fuzzy control system , adaptive neuro fuzzy inference system , membership function , expert system , machine learning , data mining , 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.