ISSN: 2375-3757
International Journal of Management Science  
Manuscript Information
 
 
Evaluation of Personnel Selection Criteria Using Consistent Fuzzy Preference Relations
International Journal of Management Science
Vol.4 , No. 6, Publication Date: Dec. 29, 2017, Page: 76-81
1241 Views Since August 3, 2017, 726 Downloads Since Aug. 3, 2017
 
 
Authors
 
[1]    

Yavuz Ozdemir, Industrial Engineering Department, Yildiz Technical University, Istanbul, Turkey.

[2]    

Kemal Gokhan Nalbant, Industrial Engineering Department, Yildiz Technical University, Istanbul, Turkey.

[3]    

Huseyin Basligil, Industrial Engineering Department, Yildiz Technical University, Istanbul, Turkey.

 
Abstract
 

The quality and productivity of personnel is determined by personnel selection. Therefore, personnel selection is crucial in today’s competitive business world and also a very important issue for both academicians and industrialists. Selecting personnel or determining the selection criteria can be handled as a Multi Criteria Decision Making (MCDM) problem. The aim of this paper is to determine personnel selection criteria and to prioritize these criteria by using one of the MCDM techniques, Consistent Fuzzy Preference Relations (CFPR). In order to prioritize, 22 sub-criteria were identified and they were categorized under 5 main criteria. According to these criteria, employees have the opportunity to improve themselves; on the other hand, managers/human resources department can easily predict how they can evaluate employees.


Keywords
 

Personnel Selection, Personnel Selection Criteria, Multi Criteria Decision Making (MCDM), Consistent Fuzzy Preference Relations (CFPR)


Reference
 
[01]    

S. K. Liao, K. L. Chang. Selecting Public Relations Personnel of Hospitals by Analytic Network Process. Journal of Hospital Marketing and Public Relations. Vol. 19, No. 1, 2009, pp. 52-63.

[02]    

M. Dagdeviren, D. Yuksel. Personnel Selection Using Analytic Network Process. Istanbul Ticaret Universitesi Fen Bilimleri Dergisi. Vol 6, No. 1, 2007, pp. 99-118.

[03]    

A. Kelemenis, K. Ergazakis, D. Askounis. Support Managers' Selection Using an Extension of Fuzzy TOPSIS. Expert Systems with Applications. Vol. 38, No. 3, 2011, pp. 2774-2782.

[04]    

E. K. Zavadskas, J. Tamošaitiene, V. Marina. Multicriteria Selection of Project Managers by Applying Grey Criteria. Technol. Econ. Dev. Econ. Vol. 14, No. 4, 2008, pp. 462-477.

[05]    

Y. Ozdemir, H. Basligil, Aircraft Selection Using Fuzzy ANP and the Generalized Choquet Integral Method: The Turkish Airlines Case. Journal of Intelligent and Fuzzy Systems, doi: 10.3233/IFS-162172, Vol. 31, 2016, pp. 589–600.

[06]    

E. Herrera-Viedma, F. Herrera, F. Chiclana, M. Luque. Some Issues on Consistency of Fuzzy Preference Relations. European Journal of Operational Research. Vol. 154, 2004, pp. 98-109.

[07]    

B. D. Rouyendegh, T. E. Erkan. Selection of Academic Staff Using the Fuzzy Analytic Hierarchy Process (FAHP): A Pilot Study. Tehnicki vjesnik / Technical Gazette. Vol. 19, No. 4, 2012, pp. 923- 929.

[08]    

R. Md Saad, M. Z. Ahmad, M. S. Abu, M. S. Jusoh. Hamming Distance Method with Subjective and Objective Weights for Personnel Selection. The Scientific World Journal. 2014, Article ID 865495, doi: 10.1155/2014/865495.

[09]    

R. Aggarwal. Identifying and Prioritizing Human Capital Measurement Indicators for Personnel Selection Using Fuzzy MADM. In: Pant M., Deep K., Nagar A., Bansal J. (eds) Proceedings of the Third International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, Springer, New Delhi. Vol. 258, 2014, pp. 427-439.

[10]    

K. Violeta, Z. Turskis. A hybrid linguistic fuzzy multiple criteria group selection of a chief accounting officer. Journal of Business Economics and Management. Vol. 15, No. 2, 2014, pp. 232-252.

[11]    

D. Karabasevic, D. Stanujkic, S. Urosevic and M. Maksimovic. Selection of Candidates in the Mining Industry Based on the Application of the SWARA and the MULTIMOORA Methods. Acta Montanistica Slovaca. Vol. 20, No. 2, 2015, pp. 116-124.

[12]    

T. H. Chang, S. C. Hsu, T. C. Wang. A Proposed Model for Measuring the Aggregative Risk Degree of Implementing an RFID Digital Campus System with the Consistent Fuzzy Preference Relations. Applied Mathematical Modelling. Vol. 37, 2013, pp. 2605–2622.

[13]    

T-C. Wang, Y-L. Lin. Applying the Consistent Fuzzy Preference Relations to Select Merger Strategyfor Commercial Banks in New Financial Environments. Expert Systems with Applications. Vol. 36, 2009, pp. 7019–7026.

[14]    

A. Jafarnejad, M. Ebrahimi, M. A. Abbaszadeh, S. M. Abtahi. Risk Management in Suppy Chain using Consistent Fuzzy Preference Relations. International Journal of Academic Research in Business and Social Sciences. Vol. 4, No. 1, 2014, pp. 77-89.





 
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