Abstract
In this paper a knowledge-based approach to the support of decision making in human resource management is proposed, which is a promising way to increase the efficiency of human resource management on the operational and managerial levels. Analysis of the domain of human recourse management shows that the appropriate support of decision making can be implemented using contemporary technologies of artificial intelligence such as case-based reasoning and ontology. In the paper the problems of knowledge and case representation are considered, as well as the algorithm of case retrieval. A prototype of intelligent decision support system in human resource management was implemented in framework of proposed approach to the integration of case-based reasoning and ontology.
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Zhukova, I., Kultsova, M., Navrotsky, M., Dvoryankin, A. (2014). Intelligent Support of Decision Making in Human Resource Management Using Case-Based Reasoning and Ontology. In: Kravets, A., Shcherbakov, M., Kultsova, M., Iijima, T. (eds) Knowledge-Based Software Engineering. JCKBSE 2014. Communications in Computer and Information Science, vol 466. Springer, Cham. https://doi.org/10.1007/978-3-319-11854-3_16
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DOI: https://doi.org/10.1007/978-3-319-11854-3_16
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11853-6
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