PERFORMANCE EVALUATION OF SUDANESE UNIVERSITIES AND ACADEMIC STAFF USING FUZZY LOGIC TECHNIQUE

Abstract

The excellence of Sudanese Universities and Academic Staff members 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 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 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. The consistency of judgment that is carried out by experts/ participants during a series of pairwise comparison methods represents a key evaluation issue to the reliability of the ultimate output (performance evaluation). 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 Sudanese universities as an empirical study. Finally, fifteen higher education institutes (10 public universities & 5 private universities) are ranked using the proposed hybrid computational model. The model result is tested by comparing the ranking of previous year admission result that was done by the General Administration for Admissions, Degree Evaluations & Verification.