Title: A complimentary fuzzy approach for the assessment of academic performance
Author: Ebru Akcapinar Sezer, Candan Gokceoglu
Department of Computer Engineering, Hacettepe University, Beytepe 06800, Ankara, Turkey.
Department of Geological Engineering, Hacettepe University, Beytepe 06800, Ankara, Turkey
Abstract: Assessment of academic performance is highly important and critical point for researchers, but this is a difficult task. The h-index is one of the most popular indicators to assess the academic performance. As the expression of academic performance is too difficult by single mathematical expression, it should be done with a mathematical expression to apply simply and safely throughout the world. However, this requirement does not change the nature of the problem. In fact, this is a real fuzzy problem and it should be tested by using fuzzy approaches. For this reason, construction of a fuzzy inference system to assess the academic performance is the main target of the current study. Although a close relationship between the h-index and the FAPI is obtained, there are still some slight differences. Obtained results show that problem is fuzzy, but its application is not very simple. For this reason, the fuzzy inference system should be considered as a complimentary tool for the assessment of academic performance, especially in carrier planning of the researchers.
Keywords: fuzzy inference systems; h-index; FAPI; fuzzy academic performance index; researcher productivity; academic staff; higher education; researchers; research assessment; fuzzy logic.
Int. J. of Industrial and Systems Engineering, 2011 Vol.9, No.1, pp.21 - 33
Available online: 15 Sep 2011