An Intelligent Approach to Employee Performance Evaluation

The evaluation process of employee performance has been very vital and critical issue for companies that aim to reward employees for meeting their organizational goals and identify whether or not their objectives are met, and develop necessary action plans so that they can be achieved in near future. This selection process is so essential for companies due to the fact that wrong decisions may negatively affect employees in the organization at all levels and put the company into difficult position in doing their business activities. Therefore, most companies have used different methods to successfully carry out this painful and time-consuming process. Of these methods, Analytic Hierarchy Process (AHP) has been widely used for Multiple-Criteria Decision Making (MCDM) problems in both academic researches and practices. But, in some cases, due to the vagueness and uncertainty on judgments of the decision-maker(s), the crisp pair wise comparison in the conventional AHP seems to be insufficient and imprecise to capture the right judgments of decision-maker(s). Therefore, a fuzzy logic is introduced in the pair wise comparison of AHP to make up for this deficiency in the conventional AHP, called as fuzzy AHP. Shortly, in this paper, a fuzzy AHP-based approach is proposed to evaluate a number of employees in terms of evaluation criteria to rank them by weight. In addition, a case study is included to show the applicability of the proposed approach. Keywords-component; Employee performance evaluation; multiple-criteria decision making; fuzzy logic; analytic hierarchy process.