Performance Evaluation Of Sudanese Universities And Academic Staff Using Fuzzy Logic Technique

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.
Overall Rating

0

5 Star
(0)
4 Star
(0)
3 Star
(0)
2 Star
(0)
1 Star
(0)
APA

Adam, M (2021). Performance Evaluation Of Sudanese Universities And Academic Staff Using Fuzzy Logic Technique. Afribary. Retrieved from https://track.afribary.com/works/performance-evaluation-of-sudanese-universities-and-academic-staff-using-fuzzy-logic-technique

MLA 8th

Adam, Mohamed "Performance Evaluation Of Sudanese Universities And Academic Staff Using Fuzzy Logic Technique" Afribary. Afribary, 20 May. 2021, https://track.afribary.com/works/performance-evaluation-of-sudanese-universities-and-academic-staff-using-fuzzy-logic-technique. Accessed 24 Nov. 2024.

MLA7

Adam, Mohamed . "Performance Evaluation Of Sudanese Universities And Academic Staff Using Fuzzy Logic Technique". Afribary, Afribary, 20 May. 2021. Web. 24 Nov. 2024. < https://track.afribary.com/works/performance-evaluation-of-sudanese-universities-and-academic-staff-using-fuzzy-logic-technique >.

Chicago

Adam, Mohamed . "Performance Evaluation Of Sudanese Universities And Academic Staff Using Fuzzy Logic Technique" Afribary (2021). Accessed November 24, 2024. https://track.afribary.com/works/performance-evaluation-of-sudanese-universities-and-academic-staff-using-fuzzy-logic-technique