A Hybrid Fuzzy AHP-DEA Approach for Assessing University Performance

-In recent years, with the expansion of existing institutions as well as the establishment of new ones, higher education institutions have suffered the problem of declining available resources. Each university must assess the performance of its critical business units to measure effectiveness and efficiency. The purpose of this study is to assess university performance. In this study, we apply the fuzzy analytic hierarchy process (Fuzzy AHP) and the Data Envelopment Analysis (DEA) model with an assurance region (AR) for measuring the efficiency scores of universities. In the first phase, the fuzzy AHP is employed to get the weights of output indicators. The derived weight ranges are then used for the AR to allow weights varying within a region determined by lower bounds and upper bounds. In the second phase, the DEA with AR approach measures the performance of Vietnamese universities to illustrate the approach. The framework may be a useful tool by which institution managers may improve their performance levels and effectively allocate resources.