Title :
Fuzzy Scorecards, FHOWA, and a New Fuzzy Similarity Based Ranking Method for Selection of Human Resources
Author :
Luukka, Pasi ; Collan, Mikael
Author_Institution :
Sch. of Bus., Lappeenranta Univ. of Technol., Lappeenranta, Finland
Abstract :
A novel procedure for human resources selection is proposed. Fuzzy scorecards are used to collect information from multiple experts representing different knowledge domains. The results are aggregated by using Fuzzy Heavy Ordered Weighted Averaging (FHOWA) total type aggregation. The results are ranked with a new method, based on using fuzzy similarity to an ideal solution. A numerical example is used for illustration. The procedure preserves more information from evaluation to ranking than previous models.
Keywords :
fuzzy set theory; human resource management; FHOWA; fuzzy heavy ordered weighted averaging total type aggregation; fuzzy scorecards; fuzzy similarity based ranking method; human resources selection; knowledge domains; multiple experts; Aggregates; Decision making; Educational institutions; Open wireless architecture; Personnel; Resource management; Vectors; Multi-criteria multi-expert decision making; fuzzy heavy OWA; fuzzy score cards; fuzzy similarity; ranking;
Conference_Titel :
Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on
Conference_Location :
Manchester
DOI :
10.1109/SMC.2013.108
