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Download PDFOpen PDF in browserThe Information Technologies for Evaluating the Speech-Communicative Professional Competence of Economic Specialties StudentsEasyChair Preprint 561317 pages•Date: May 26, 2021AbstractThe authors propose information technologies for evaluating the level of speech-communicative professional competence of economic specialties students with the use of artificial intelligence, in particular, mathematical apparatus of neural networks and fuzzy logic. To transform the set of input to the set of output solutions the authors of the article propose the use of aggregation functions which are allow to assess the levels of: psychophysical qualities of the student; personal qualities of the student; language competence of the economic specialties students; economic specialties student's speech competence; ability to ensure the quality of the student's speech; skills to increase the effectiveness of the communicative process of student’s speech. The purpose of the article is to formalize the process of evaluating the level of speech-communicative professional competence of language competence of the economic specialties students on the basis of mathematical apparatus of neural networks and fuzzy logic. The scientific novelty of the obtained results is the formation of methodological principles for evaluating the level of speech-communicative professional competence of language competence of the students on the basis of the mathematical apparatus of artificial intelligence and modern mathematical automated means. In particular, for the first time, it was proposed: the mathematical model for estimating the level of speech-communicative professional competence of economic specialties students and the method of its formalization which based on the mathematical apparatus of fuzzy logic and the Hopfield’s neural network. It allows precisely and adequately with less losing time to map the set of input parameters to the set of resulting solutions, taking into account the wide range both quantitative and qualitative factors of influence to take into account the complexity and dynamism of such a process. Keyphrases: Fuzzy Logic, Hopfield’s, Norms, Technologies, competence, language, network, neural, professional, speech, speech-communicative Download PDFOpen PDF in browser |
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