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Assessing Lecturers' Performance using Fuzzy Logic

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Umar Farouk Ibn Abdulrahman, Suleman Shamsu-Deen, Emmanuel Kwame Abaidoo

Umar Farouk Ibn Abdulrahman, Suleman Shamsu-Deen and Emmanuel Kwame Abaidoo. Assessing Lecturers' Performance using Fuzzy Logic. International Journal of Computer Applications 160(1):11-14, February 2017. BibTeX

	author = {Umar Farouk Ibn Abdulrahman and Suleman Shamsu-Deen and Emmanuel Kwame Abaidoo},
	title = {Assessing Lecturers' Performance using Fuzzy Logic},
	journal = {International Journal of Computer Applications},
	issue_date = {February 2017},
	volume = {160},
	number = {1},
	month = {Feb},
	year = {2017},
	issn = {0975-8887},
	pages = {11-14},
	numpages = {4},
	url = {},
	doi = {10.5120/ijca2017912936},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


Assessing lecturers is a routine work conducted at various universities to ascertain the academic performance of the lecturers. In literature, various methods and variables are being employed to do the evaluation. The objective of this research was to employ fuzzy logic in assessment of lecturers as against the traditional statistical methods. Four input variables, namely lecturer delivery, punctuality, interaction with students and assignment were used which produces a single output- Result, with its linguistic terms as Excellent, Fair, Good or Poor. The result shows that Fuzzy logic can be a simpler way of evaluating lecturers.


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Lecturers Assessment, Fuzzy logic, Fuzzification, Defuzzification