Fuzzy Driven Decision Support System for Enhanced Performance Appraisal

Abstract

Employees\u2019 \u00a0performance \u00a0appraisal \u00a0is \u00a0often \u00a0considered \u00a0as \u00a0a \u00a0core \u00a0management \u00a0task \u00a0in \u00a0most \u00a0standard organizations \u00a0because \u00a0it \u00a0could \u00a0potentially \u00a0inspire \u00a0an \u00a0employee \u00a0towards \u00a0the \u00a0pursuit \u00a0of \u00a0organizational \u00a0goals \u00a0and objectives. Meanwhile, issues such as delay in appraisal processes, inevitable human error, and emotional status of the \u00a0appraiser, \u00a0are \u00a0common \u00a0with \u00a0the \u00a0traditional \u00a0appraisal \u00a0methods. \u00a0Hence, \u00a0this \u00a0research \u00a0proposes \u00a0a \u00a0fuzzy \u00a0decision support system based on Henri Fayol\u2019s 14 principles of management for the appraisal of employees\u2019 performance. A questionnaire consisting of 44 structured questions was designed based on these principles and administered to the employees \u00a0of \u00a0Babcock \u00a0University, \u00a0Ilisan-Remo, \u00a0Ogun \u00a0State, \u00a0Nigeria. \u00a0Fuzzy \u00a0inference \u00a0system \u00a0that \u00a0incorporates Mamdani computational technique was built based on the feedback extracted from the questionnaires, and used for appraising \u00a0the \u00a0employee \u00a0performance. \u00a0Experimental \u00a0results \u00a0show \u00a0that \u00a0the \u00a0proposed \u00a0system \u00a0could \u00a0predict \u00a0the appraisal status of an employee with 75% accuracy in comparison to the conventional appraisal method.