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Fuzzy Expert System for Selecting and Recruiting Personnel

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2021
Quashie Duodu, Seidu Kwame Hamidu

Quashie Duodu and Seidu Kwame Hamidu. Fuzzy Expert System for Selecting and Recruiting Personnel. International Journal of Computer Applications 183(28):1-5, September 2021. BibTeX

	author = {Quashie Duodu and Seidu Kwame Hamidu},
	title = {Fuzzy Expert System for Selecting and Recruiting Personnel},
	journal = {International Journal of Computer Applications},
	issue_date = {September 2021},
	volume = {183},
	number = {28},
	month = {Sep},
	year = {2021},
	issn = {0975-8887},
	pages = {1-5},
	numpages = {5},
	url = {},
	doi = {10.5120/ijca2021921612},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


Selection and recruitment is a critical decision-making in anyorganization. The main aim of this researchwas to develop a multi-portfolio Fuzzy Logic Expert System to aid in recruitment and selection of personnel in an establishment. Case-study was conducted in Kings University College, a private university in Ghana. Fuzzy logicalgorithm and flowchart of the algorithm was developed. The algorithm was simulated using MATLAB 7.8.0 (R2009a).Using Chief Security Portfolio, the system was used for selecting a personnel. Fuzzy logic offered accurate and simplified way of recruiting personnelof out of 16 randomly sampled applicant at Kings University College.


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Fuzzy variable, linguistic variable, fuzzy decision matrices