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A linguistic Neutrosophic Multi-Criteria Group Decision-Making Method to University Human Resource Management ...
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A linguistic Neutrosophic Multi-Criteria Group Decision-Making Method to University Human Resource Management ...
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Abstract:
Competition among different universities depends largely on the competition for talent. Talent evaluation and selection is one of the main activities in human resource management (HRM) which is critical for university development. Firstly, linguistic neutrosophic sets (LNSs) are introduced to better express multiple uncertain information during the evaluation procedure. We further merge the power averaging operator with LNSs for information aggregation and propose a LN-power weighted averaging (LNPWA) operator and a LN-power weighted geometric (LNPWG) operator. Then, an extended technique for order preference by similarity to ideal solution (TOPSIS) method is developed to solve a case of university HRM evaluation problem. The main contribution and novelty of the proposed method rely on that it allows the information provided by different decision makers (DMs) to support and reinforce each other which is more consistent with the actual situation of university HRM evaluation. In addition, its effectiveness and ...
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Keyword:
linguistic neutrosophic sets
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URL: https://zenodo.org/record/3070515
https://dx.doi.org/10.5281/zenodo.3070515
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A linguistic Neutrosophic Multi-Criteria Group Decision-Making Method to University Human Resource Management
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In: Symmetry ; Volume 10 ; Issue 9 (2018)
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