6533b862fe1ef96bd12c6b84
RESEARCH PRODUCT
A Multistep Methodology for the Evaluation of Human Resources Using the Evidence Theory
Giacomo Maria GalanteAntonella CertaMario EneaConcetta Manuela La Fatasubject
Human-Computer InteractionIncomplete knowledgeResource (project management)Artificial Intelligencebusiness.industryComputer scienceManagement scienceAggregate (data warehouse)Human resourcesbusinessSet (psychology)SoftwareTheoretical Computer Sciencedescription
The paper aims at proposing a model for the human resources evaluation as regards to a set of skills. Specifically, it starts sfrom the judgments expressed by a team of experts on the basis of their previous working experiences with the resource to be evaluated. Information arising from experts is successively handled by the analyst and aggregated to determine the resource suitability or unsuitability. The Dempster–Shafer theory is proposed here as an appropriate tool to deal with both the uncertainty of experts due to the incomplete knowledge about resources to be evaluated and that of the analyst to convert expert judgments in terms of resource suitability/unsuitability. Furthermore, the Yager rule is used to aggregate the available information simultaneously taking into account the uncertainty and the eventual conflict among the information sources. In addition, a parameter synthesizing the expertise of each candidate is suggested.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2013-07-31 | International Journal of Intelligent Systems |