Investigation and development of an intelligent system for the diagnostics and intervention of organizational stress

  • Authors:

  • A. E. Yankovskaya;S. V. Kitler;R. V. Ametov

  • Affiliations:

  • Tomsk State University, Tomsk, Russia and Tomsk State University of Architecture and Building, Tomsk, Russia;Tomsk State University of Control Systems and Radioelectronics, Tomsk, Russia;Tomsk State University of Architecture and Building, Tomsk, Russia

  • Venue:
  • Pattern Recognition and Image Analysis
  • Year:
  • 2013

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Abstract

The development of an intelligent system for the diagnostics and intervention of organizational stress (DIOS) is devoted in this paper. This system is described and the results of its investigation are given. The DIOS system is based on recognition of the description of a subject under investigation (a respondent) by applying threshold logic and soft computing techniques, as well as means of cognitive visualization of information structures and justification results for diagnostic and intervention decisions. This paper also presents an algorithm for decisions-making on the diagnostics and intervention of organizational stress. This algorithm is implemented in the DIOS intelligent system. Further ways to improve the DIOS intelligent system are discussed in this paper.