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Fuzzy Driven Decision Support System for Enhanced Employee Performance Appraisal

Fuzzy Driven Decision Support System for Enhanced Employee Performance Appraisal

Oluwasefunmi ‘Tale Arogundade, Bolanle Ojokoh, Mojisola Grace Asogbon, Oluwarotimi Williams Samuel, Babatope Sunday Adeniyi
Copyright: © 2021 |Pages: 14
ISBN13: 9781799890232|ISBN10: 1799890236|EISBN13: 9781799890249
DOI: 10.4018/978-1-7998-9023-2.ch064
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MLA

Arogundade, Oluwasefunmi ‘Tale, et al. "Fuzzy Driven Decision Support System for Enhanced Employee Performance Appraisal." Research Anthology on Decision Support Systems and Decision Management in Healthcare, Business, and Engineering, edited by Information Resources Management Association, IGI Global, 2021, pp. 1353-1366. https://doi.org/10.4018/978-1-7998-9023-2.ch064

APA

Arogundade, O. ‘., Ojokoh, B., Asogbon, M. G., Samuel, O. W., & Babatope Sunday Adeniyi. (2021). Fuzzy Driven Decision Support System for Enhanced Employee Performance Appraisal. In I. Management Association (Ed.), Research Anthology on Decision Support Systems and Decision Management in Healthcare, Business, and Engineering (pp. 1353-1366). IGI Global. https://doi.org/10.4018/978-1-7998-9023-2.ch064

Chicago

Arogundade, Oluwasefunmi ‘Tale, et al. "Fuzzy Driven Decision Support System for Enhanced Employee Performance Appraisal." In Research Anthology on Decision Support Systems and Decision Management in Healthcare, Business, and Engineering, edited by Information Resources Management Association, 1353-1366. Hershey, PA: IGI Global, 2021. https://doi.org/10.4018/978-1-7998-9023-2.ch064

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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.

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