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Fuzzy Expert System for Selecting and Recruiting Personnel

by Quashie Duodu, Seidu Kwame Hamidu
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 183 - Number 28
Year of Publication: 2021
Authors: Quashie Duodu, Seidu Kwame Hamidu
10.5120/ijca2021921612

Quashie Duodu, Seidu Kwame Hamidu . Fuzzy Expert System for Selecting and Recruiting Personnel. International Journal of Computer Applications. 183, 28 ( Sep 2021), 1-5. DOI=10.5120/ijca2021921612

@article{ 10.5120/ijca2021921612,
author = { Quashie Duodu, Seidu Kwame Hamidu },
title = { Fuzzy Expert System for Selecting and Recruiting Personnel },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2021 },
volume = { 183 },
number = { 28 },
month = { Sep },
year = { 2021 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume183/number28/32104-2021921612/ },
doi = { 10.5120/ijca2021921612 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:18:07.439715+05:30
%A Quashie Duodu
%A Seidu Kwame Hamidu
%T Fuzzy Expert System for Selecting and Recruiting Personnel
%J International Journal of Computer Applications
%@ 0975-8887
%V 183
%N 28
%P 1-5
%D 2021
%I Foundation of Computer Science (FCS), NY, USA
Abstract

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.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Fuzzy variable linguistic variable fuzzy decision matrices

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