Online fuzzy based decision support system for human resource performance appraisal

The evaluation of employees' performance is geared towards assessing individual's contribution to the attainment of organizational goals. Performance appraisal (PA) is a key tool in an organization due to its potency to either make or mar such organization. Irregular standards for human resource PA, tribal sentiment, emotional status of assessors, and delay in appraisal processes among others are the key problems of the conventional methods of appraising employees' performances in an organization. This research therefore proposes an online fuzzy based decision support system for human resource PA. The proposed system incorporates an efficient computational technique which handles the delays and bias associated with the orthodox performance appraisal system in organizations. The fuzzy inference system developed in this research uses Mamdani technique, Center of Gravity Defuzzification approach and takes as input the key attributes considered when appraising the performance of an employee. An experimental study of the proposed system was conducted using the dataset of academic staff. Standard statistical technique was used to measure the accuracy level of the System and the result shows that the proposed system has 0.78 probability (78%) of predicting accurately the appraisal status of an academic staff.