Human Resource Manager Selection Based on Logarithmic Fuzzy Preference Programming and TOPSIS Methods

Mohammad Reza Fathi, Seied Reza‎ Seied Javadin, Amirhesam Behrooz, Mohammad Reza Sadeghi
2013 International Journal of Human Resource Studies  
Today's organizations must gain competitive advantage through the effective utilization of their human resources. Successful human resource management can contribute to superior performance as a source of competitive advantage by making organizations more effective. The purpose of this paper is applying a new integrated method to Human Resource Manager Selection. Proposed approach is based on Logarithmic fuzzy preference programming and TOPSIS methods. LFPP method is used in determining the
more » ... hts of the criteria by decision makers and then selecting Human Resource Manager are determined by TOPSIS method. A real case demonstrates the application of the proposed method.
doi:10.5296/ijhrs.v3i2.3591 fatcat:6p5efqanunh4bjimd43dyc2p7a