A Linguistic Fuzzy Approach for Employee Evaluation

Employee being knowledge asset for an organization, employee evaluation is carried out by the organizations for performance appraisal and rewards to be given to the employees. Employee evaluation represents a critically important decision that often involves subjective information. An impartial assessment of this subjective information is difficult. Thus employee evaluation is vague, uncertain and imprecise which may not result into fair decision. The paper proposes a linguistic fuzzy approach for employee evaluation that removes any psychological elements that may have a negative bearing on unbiased evaluation. Fuzzy logic provides a simple way to draw definite conclusions from vague, ambiguous or imprecise information. It resembles human decision making with its ability to work from approximate data and find precise solutions. The paper discusses parameters that effect the performance evaluation and gives design of employee evaluation interface. The evaluations are expressed using fuzzy scales. Weight matrices are designed for each evaluation parameter and final evaluation is computed as weighted average of fuzzy evaluations.