FUZZY-MULTIPLE EFFICIENCY RATING OF UNIVERSITIES BASED ON A COMPLEX OF ADDITIONAL INDICATOR

• Main Author: Galina E. Karataeva
• Format: Article in Journal/Newspaper
• Language: Russian
• Published: The Fund for Promotion of Internet media, IT education, human development «League Internet Media» 2018
• Subjects: Rating of universities; complex evaluation; aggregated indicator; term-sets; Electronic computers. Computer science; QA75.5-76.95; khanty; khanty-mansi; Mansi
• Online Access: https://doi.org/10.25559/SITITO.14.201802.462-471; https://doaj.org/article/33942a47bc434bffaa2a01107f4ca529

The article is devoted to the development and testing of ranking methods of universities depending on the quality of their educational services and other targets set by the governing government agencies. Known methods of such ranking do not allow to correctly take into account the currently available quantitative and qualitative information. The problems are primarily related to the heterogeneity of the studied indicators, the presence of both absolute and relative values among them, as well as the presentation of statistical information in the form of time series. These problems can be solved with the help of fuzzy-logical conclusions, allowing to form a comprehensive assessment of the state of the object on the basis of a complex of heterogeneous indicators. The proposed method allows to form a complex numerical evaluation of the effectiveness of the University on the basis of aggregation of indicators of six groups: 1) educational activities; 2) scientific activities; 3) human resources; 4) international activities; 5) infrastructure; 6) financial and economic activities. The technique includes the following stages: formation of a list of used indicators, divided into groups; ranking the importance of indicators (expert method); normalization of indicators; aggregation of time series available for the study of indicators; formation of linguistic variables for each indicator; calculation of terms for each linguistic variable; calculation of weight coefficients for these terms; quantification of values of linguistic variables and the actual ranking of compared universities by tabular method. The mathematical model used by the proposed method is based on a system of fuzzy-logical conclusions. The ranking of universities in the considered region can be compiled based on formed estimates. The method was tested at three regional universities of Khanty-Mansi Autonomous Region: Surgut State University (SurGU), Surgut State Pedagogical University (SurGPU) and Khanty-Mansi State Medical Academy (KHMGMA) are considered.