A new approach to job evaluation through fuzzy sir

Job evaluation is carried out in order to choosing competent employees and compensates their services. To help in this selection, Occupational Information Network factors are used to assessing the various requirements that are necessary for doing the job. Job evaluation is a multiple criteria decision making in which multifarious criteria are required to be evaluated simultaneously. In this paper, a multi-criteria group decision making model has been developed based on fuzzy set theory to efficiently deal with the ambiguity of the decision making problems in practical cases to evaluate the jobs and comparing them. Namely it was used an integrated Delphi and fuzzy SIR for job evaluation. Firstly we used Delphi method to extract the weight of criteria in job evaluation. The importance of various criteria was gathered by Delphi method as linguistic variables. The proposed model utilizes superiority and inferiority ranking (SIR) method in fuzzy environment for comparing the performance of alternatives. Job evaluation and its problems as well as subjective judgment of appraiser are vague and uncertain, and so fuzzy set theory helps to convert decision maker preferences and judgments into meaningful results by applying linguistic values to measure each criterion with respect to every jobs.