Fuzzy logic computational model for performance evaluation of Sudanese Universities and academic staff

The excellence of a Sudanese universities and academic staff member can be effectively classified by systematic and objective design criteria, which participates in developing the learning outcomes in Sudan. In the first phase of this study, we reviewed the literatures, determined and defined the suitable quantitative and qualitative criteria and then designed exploited pairwise comparison and evaluation forms through a survey to get experts opinions/preference on the evaluation criteria that are used to measure the universities and academic staff performance. This paper presents a fuzzy logic computational model based on this survey to measure and classify the performance of Sudanese universities and academic staff, which includes computation of criteria weights and overall evaluation of Sudanese universities and academic staff using AHP and TOPSIS techniques.