Weighted Fuzzy Group Decision-making in Recruitment

This article deals with group decision making during recruitment of new employees. The importance of correct selection of a candidate during the recruitment is very easy to understand, but not so easy to achieve. Especially in situations where decision-makers have to evaluate large number of different candidates. The proposed approach was created to help decision-makers to find the most suitable candidate by using only vague expressions. Given the uncertainty, subjectivity and ambiguity of human knowledge, the entire approach is based on Fuzzy Set Theory. More specifically on new innovative transformation of fuzzy numbers through α-level cuts. The transformation of fuzzy numbers will be used to taking into account weigh of each member of the decision-making group and the weights will be calculated by using the AHP method. The shape and po-sition of fuzzy numbers play the key role in the transformation. Additionally, the Hamming distance will be used for the final interpretation of the results, thus there is no loss of information caused by defuzzification.