Personnel selection based on interval valued neutrosophic AHP and interval valued neutrosophic TOPSIS methods

Personnel selection plays an important role in human resource management. It may change the current and/or future structure of a firm permanently and it may lead the firm to grow or downsize. Selecting, hiring and placing the right employee in the right positions is crucial for businesses for long term achievement. In this respect, this thesis aims to apply Analytic Hierarchy Process (AHP) and TOPSIS multi-criteria decision-making methods to the personnel selection process of software companies by employing interval valued neutrosophic sets. The criteria for the optimal candidates are determined by interviewing the human resource managers of each sample software company. First, the ranking of the criteria is set by applying interval valued neutrosophic AHP approach. Then, the candidates are ranked by using the observed results of weighted coefficients and employing interval valued neutrosophic TOPSIS method. Consequently, the calculated candidate rankings are found to be same as the ones obtained from the software companies. Therefore, it is suggested that interval valued neutrosophic sets is an effective approach that can be applied to personnel selection process in human resource management. Keywords: Human Resource, Personnel Selection, Interval Valued Neutrosophic Sets, MultiCriteria Decision Making, Analytic Hierarchy Process, TOPSIS