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2011

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Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/126123

OWA operators in human resource management

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Abstract

We develop a new approach that uses the ordered weighted averaging (OWA) operator in different methods for the selection of human resources. The objective of this new model is to manipulate the neutrality of the old methods, so the decision maker can select human resources according to his degree of optimism or pessimism. In order to develop this model, first, a short revision of the OWA operators is introduced. Next, we briefly explain the general model for the selection of human resources and suggest three new indexes for the selection of human resources that use the OWA operator and the hybrid average in the Hamming distance, in the adequacy coefficient and in the index of maximum and minimum level. The main advantage of this method is that it is more complete than the previous ones so the decision maker gets a better understanding of the decision problem. The work ends with an illustrative example that shows the results obtained by using different types of aggregation operators in the new approaches. .

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Recursos humans, Lògica borrosa, Presa de decisions

Subject (English)

Human capital, Fuzzy logic, Decision making

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MERIGÓ LINDAHL, José M. and GIL LAFUENTE, Anna Maria. OWA operators in human resource management. Economic Computation and Economic Cybernetics Studies and Research. 2011. Vol. 45, num. 2, pags. 153-168. ISSN 0424-267X. [consulted: 17 of August of 2026]. Available at: https://hdl.handle.net/2445/126123

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