Fuzzy Driven Decision Support System for Enhanced Performance Appraisal
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@Article{JICS-13-131,
author = {Ojokoh Bolanle Adefowoke , Oluwasefunmi Tale Arogundade , Mojisola Grace Asogbon , Babatope Sunday Adeniyi and Oluwarotimi Williams Samuel},
title = {Fuzzy Driven Decision Support System for Enhanced Performance Appraisal},
journal = {Journal of Information and Computing Science},
year = {2024},
volume = {13},
number = {2},
pages = {131--140},
abstract = { Employees’ performance appraisal is often considered as a core management task in most standard
organizations because it could potentially inspire an employee towards the pursuit of organizational goals and
objectives. Meanwhile, issues such as delay in appraisal processes, inevitable human error, and emotional status of
the appraiser, are common with the traditional appraisal methods. Hence, this research proposes a fuzzy decision
support system based on Henri Fayol’s 14 principles of management for the appraisal of employees’ performance. A
questionnaire consisting of 44 structured questions was designed based on these principles and administered to the
employees of Babcock University, Ilisan-Remo, Ogun State, Nigeria. Fuzzy inference system that incorporates
Mamdani computational technique was built based on the feedback extracted from the questionnaires, and used for
appraising the employee performance. Experimental results show that the proposed system could predict the
appraisal status of an employee with 75% accuracy in comparison to the conventional appraisal method.
},
issn = {1746-7659},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/jics/22455.html}
}
TY - JOUR
T1 - Fuzzy Driven Decision Support System for Enhanced Performance Appraisal
AU - Ojokoh Bolanle Adefowoke , Oluwasefunmi Tale Arogundade , Mojisola Grace Asogbon , Babatope Sunday Adeniyi and Oluwarotimi Williams Samuel
JO - Journal of Information and Computing Science
VL - 2
SP - 131
EP - 140
PY - 2024
DA - 2024/01
SN - 13
DO - http://doi.org/
UR - https://global-sci.org/intro/article_detail/jics/22455.html
KW - Employee performance appraisal, Human resource manager, Fuzzy logic, Decision support system,
Henri Fayol’s principles of management
AB - Employees’ performance appraisal is often considered as a core management task in most standard
organizations because it could potentially inspire an employee towards the pursuit of organizational goals and
objectives. Meanwhile, issues such as delay in appraisal processes, inevitable human error, and emotional status of
the appraiser, are common with the traditional appraisal methods. Hence, this research proposes a fuzzy decision
support system based on Henri Fayol’s 14 principles of management for the appraisal of employees’ performance. A
questionnaire consisting of 44 structured questions was designed based on these principles and administered to the
employees of Babcock University, Ilisan-Remo, Ogun State, Nigeria. Fuzzy inference system that incorporates
Mamdani computational technique was built based on the feedback extracted from the questionnaires, and used for
appraising the employee performance. Experimental results show that the proposed system could predict the
appraisal status of an employee with 75% accuracy in comparison to the conventional appraisal method.
Ojokoh Bolanle Adefowoke , Oluwasefunmi Tale Arogundade , Mojisola Grace Asogbon , Babatope Sunday Adeniyi and Oluwarotimi Williams Samuel. (2024). Fuzzy Driven Decision Support System for Enhanced Performance Appraisal.
Journal of Information and Computing Science. 13 (2).
131-140.
doi:
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