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

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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.

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Author information

Authors and Affiliations

  1. Tomsk State University, Tomsk, Russia

    A. E. Yankovskaya

  2. Tomsk State University of Architecture and Building, Tomsk, Russia

    A. E. Yankovskaya & R. V. Ametov

  3. Tomsk State University of Control Systems and Radioelectronics, Tomsk, Russia

    S. V. Kitler

Authors
  1. A. E. Yankovskaya
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  2. S. V. Kitler
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  3. R. V. Ametov
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Additional information

Anna E. Yankovskaya was born in 1939. She graduated from the Tomsk State University in 1961. She was awarded her candidate degree in 1969 and a doctorate degree in 2001. She became a professor in 2003. She is the Head of the Laboratory for Intelligent Systems at the Tomsk State University of Architecture and Construction. She is a professor at the Department of Applied Mathematics in the Tomsk State University of Architecture and Construction and a professor of Software Engineering at the Tomsk State University.

Research interests: mathematical foundations of the theory of pattern recognition and discrete control devices, logical tests targeted at different problem solving and interdisciplinary areas, combinatorial logic, logical-combinatorial, probabilistic, and genetic algorithms, intelligent systems based on test methods for pattern recognition, cognitive modeling.

Anna E. Yankovskaya published more than 550 publications, including 6 monographs and 310 articles.

She is the Chairman of the Tomsk regional office of the Russian Association of Artificial Intelligence and the Russian Association of Pattern Recognition and Image Analysis, and a Member of the European Academy of Natural Sciences.

In 1994, Anna E. Yankovskaya was awarded the diploma of the winner of the exhibition CAI-94 “Software and Artificial Intelligence Systems”. In 2003, she was awarded the Intel Corporation diploma for the competition of research projects in the field of computer-aided design of integrated circuits.

Sergey V. Kitler was born in 1984. He graduated from the Tomsk State University of Control Systems and Radio Electronics in 2006. He is an Assistant at the Tomsk State University of Control Systems and Radio Electronics.

Research interests: artificial intelligence; logical and combinatorial algorithms, intelligent systems and technologies data mining and pattern recognition, diagnostic tests.

He published 38 publications, of which 26 articles. He is a member of the Tomsk regional office Russian Association for Pattern Recognition and Image Analysis.

Rinat V. Ametov. He was born in 1977. He graduated from the Tomsk Polytechnic University in 1999. Rinat V. Ametiv is the Deputy Director of the Center of Information Technology at the Tomsk State Architectural Construction University.

Research interests: artificial intelligence, theory of pattern recognition, data mining.

He published 57 publications.

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Yankovskaya, A.E., Kitler, S.V. & Ametov, R.V. Investigation and development of an intelligent system for the diagnostics and intervention of organizational stress. Pattern Recognit. Image Anal. 23, 459–467 (2013). https://doi.org/10.1134/S1054661813040172

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