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Volume 13, Issue 2
Fuzzy Driven Decision Support System for Enhanced Performance Appraisal

Ojokoh Bolanle Adefowoke , Oluwasefunmi Tale Arogundade , Mojisola Grace Asogbon , Babatope Sunday Adeniyi and Oluwarotimi Williams Samuel

J. Info. Comput. Sci. , 13 (2018), pp. 131-140.

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  • 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.
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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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