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Human Resource Manager Selection Based on Logarithmic Fuzzy Preference Programming and TOPSIS Methods
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
doi:10.5296/ijhrs.v3i2.3591
fatcat:6p5efqanunh4bjimd43dyc2p7a