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Intelligent Support of Decision Making in Human Resource Management Using Case-Based Reasoning and Ontology

  • Irina Zhukova
  • Marina Kultsova
  • Mikhail Navrotsky
  • Alexander Dvoryankin
Part of the Communications in Computer and Information Science book series (CCIS, volume 466)

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.

Keywords

human resource management human resource intelligent decision support system case-based reasoning ontology 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Irina Zhukova
    • 1
  • Marina Kultsova
    • 1
  • Mikhail Navrotsky
    • 1
  • Alexander Dvoryankin
    • 1
  1. 1.Volgograd State Technical UniversityVolgogradRussia

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