Fuzzy Driven Decision Support System for Enhanced Performance Appraisal
Year: 2018
Journal of Information and Computing Science, Vol. 13 (2018), Iss. 2 : pp. 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.
Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/2024-JICS-22455
Journal of Information and Computing Science, Vol. 13 (2018), Iss. 2 : pp. 131–140
Published online: 2018-01
AMS Subject Headings:
Copyright: COPYRIGHT: © Global Science Press
Pages: 10