THE EVALUATION OF UZBEK UNIVERSITIES USING FUZZY LOGIC APPROACH

The excellence of Uzbek Universities can be effectively classified by systematic and objective design criteria, which participates in developing the learning outcomes in Uzbekistan. In the first phase of this research, suitable quantitative and qualitative performance evaluation criteria are determined and defined, pairwise comparisons and evaluation forms are designed and exploited in order to get experts opinions/preference on the evaluation criteria that are used to measure the universities and academic staff performance using different types of survey. The research presents a fuzzy logic computational model based on this survey to measure and classify the performance of Uzbek universities, which includes computation of criteria weights and overall evaluation of Uzbek Universities using AHP and TOPSIS techniques. This study presents a Fuzzy Consistency Algorithm (FCA) to check and evaluate the consistency level of expert’s judgment. The new algorithm proposes a consistent preference linguistic value(s) as an option to the experts in case of inconsistency judgment in evaluation performance. Based on the proposed algorithm, the research introduces new tool that allows experts to trace and understand the roots of inconsistency and select the relevant consistent option(s). The algorithm allows the degree of consistency to be configured by user. The study also applies the proposed algorithm to the performance evaluation of Uzbek universities as an empirical study.