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Performance appraisal deals with gathering, analyzing, and assigning numerical values and grades to the performance of the employees. The numerical values and scores assigned by human beings for evaluating the performance may not be precise. To overcome this issue, the fuzzy logic approach is used for evaluating the performance of the employees. A study which employed hierarchical fuzzy influence approach, indicated that reasoning based on fuzzy models are more accurate in evaluating the performance of employees [4]. Studies suggest that performance appraisal based on fuzzy logic helps in drawing definite results from ambiguous information [25].

Furthermore, various chatbots are used in the process of performance appraisal. Example: Engazify is used for performance appraisal as it gives real-time feedback and appreciation to its workforce [2]. Besides, data analytics and big data are also used to evaluate the performance of the employees, wherein the grades and the ratings are assigned on a scientific basis. The process begins by feeding the integrated performance metrics into the analytics software to determine the ranks of the employees. Such automated performance appraisal is free from biases that may occur by human beings while assigning grades or while ranking and brings transparency in the appraisal system.