Fuzzy Driven Decision Support System for Enhanced Employee Performance Appraisal

Oluwasefunmi 'Tale Arogundade, Bolanle Ojokoh, Mojisola Grace Asogbon, Oluwarotimi Williams Samuel and Babatope Sunday Adeniyi
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Oluwasefunmi 'Tale Arogundade: Federal University of Agriculture, Abeokuta, Nigeria
Bolanle Ojokoh: Federal University of Technology, Akure (FUTA), Nigeria
Mojisola Grace Asogbon: Shenzhen Institues of Advanced Technology, Chinese Academy of Science, Shenzhen, China
Oluwarotimi Williams Samuel: Shenzhen Institues of Advanced Technology, Chinese Academy of Science, Shenzhen, China
Babatope Sunday Adeniyi: Babcock University Ilisan Remo, Ikenne, Nigeria

International Journal of Human Capital and Information Technology Professionals (IJHCITP), 2020, vol. 11, issue 1, 17-30

Abstract: Employee performance appraisal is often considered 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.

Date: 2020
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