Evaluation of University Lecturers Rating Using Hybrid Expert Systems
Abstract
In the paper, we consider university lecturers rating systems that are currently in use. Their classification, advantages and disadvantages are discussed. We use an automated information system "Department" as the data source for lecturers rating evaluation. The method of rating evaluation is based on a hybrid expert system with artificial neural networks, production expert systems, and expert systems with fuzzy logic. The structure of the automated information system "Business Analyst" is demonstrated. The proposed methods are implemented in the environment of the automated information system "Business Analyst." The process of building the artificial neural network structure is presented. As an example, we investigate the evaluation of integral parameter “Research Management”. Intermediate results of lecturers rating evaluation using neural networks are obtained.
DOI 10.14258/izvasu(2015)1.1-29
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