Abstract
Personnel selection is a challenging problem for any organization. The success of a project is determined by the human resources that handle the project. To make better personnel selections, researchers have adopted multi-criteria decision-making (MCDM) approaches. Among these, fuzzy-based MCDM methods are most frequently used, as they handle vagueness and imprecision better. Intuitionistic fuzzy set (IFS) is a popular MCDM context which provides degree of membership and non-membership for preference elicitation. In this work, we propose a novel decision-making framework that consists of two stages. In the first stage, a new extension to the popular VIKOR method is presented under IFS context. The positive and negative ideal solutions are determined, and VIKOR parameters are calculated using transformation procedure. The proposed method combines the strength of both interval-valued fuzzy set and IFS that is more effective in handling vagueness with a simple formulation setup. In the second stage, a personnel selection problem is used to validate the proposed framework. Finally, the superiority and weakness of the proposed framework are discussed by comparison with other methods.
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Abbreviations
- IF:
-
Intuitionistic fuzzy
- IFS:
-
Intuitionistic fuzzy set
- IFV:
-
Intuitionistic fuzzy value
- IFPR:
-
Intuitionistic fuzzy preference relation
- IVFS:
-
Interval-valued fuzzy set
- MCPSP:
-
Multi-criteria team selection problem
- AHP:
-
Analytical hierarchical process
- PROMETHEE:
-
Preference ranking organization method for enrichment evaluation
- TOPSIS:
-
Technique for order of preference by similarity to ideal solution
- IVTOPSIS:
-
Interval-valued TOPSIS
- IFTOPSIS:
-
Intuitionistic fuzzy TOPSIS
- VIKOR:
-
VlseKriterijumska Optimizacija I Kompromisno Resenje
- IVVIKOR:
-
Interval-valued VIKOR
- WASPAS:
-
Weighted aggregated sum product assessment
- EXPROM2:
-
Extended PROMETHEE II
- COPRASG:
-
Complex proportional assessment of alternatives with gray relations
- MMOORA:
-
Multi-multi-objective optimization on the basis of ratio analysis
- IMMOORA:
-
Interval MMOORA
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Acknowledgements
First author would like to thank the University Grants Commission (UGC), India, for their financial support from Grant No. F./2015-17/RGNF-2015-17-TAM-83. The third author would like to thank the Department of Science and Technology, Government of India (DST), India, for their financial aid from Grant No. SR/FST/ETI-349/2013. The last author would like to thank the National Natural Science Foundation of China (NSFC) for their support from Grant No. 51875113. Authors also dedicate their earnest gratitude to the editor and anonymous reviewer(s) for their valuable comments which helped us improve the quality of the manuscript.
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Krishankumar, R., Premaladha, J., Ravichandran, K.S. et al. A novel extension to VIKOR method under intuitionistic fuzzy context for solving personnel selection problem. Soft Comput 24, 1063–1081 (2020). https://doi.org/10.1007/s00500-019-03943-2
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DOI: https://doi.org/10.1007/s00500-019-03943-2