DocumentCode
677823
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
fYear
2013
fDate
13-16 Oct. 2013
Firstpage
601
Lastpage
606
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on
Conference_Location
Manchester
Type
conf
DOI
10.1109/SMC.2013.108
Filename
6721861
Link To Document