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

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...

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Published inPattern recognition and image analysis Vol. 23; no. 4; pp. 459 - 467
Main Authors Yankovskaya, A. E., Kitler, S. V., Ametov, R. V.
Format Journal Article
LanguageEnglish
Published Boston Springer US 01.12.2013
Springer Nature B.V
Subjects
Online AccessGet full text
ISSN1054-6618
1555-6212
DOI10.1134/S1054661813040172

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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.
AbstractList 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.[PUBLICATION 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.
Author Kitler, S. V.
Ametov, R. V.
Yankovskaya, A. E.
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  surname: Ametov
  fullname: Ametov, R. V.
  organization: Tomsk State University of Architecture and Building
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crossref_primary_10_1088_1742_6596_1488_1_012009
crossref_primary_10_1134_S1054661817020134
crossref_primary_10_1134_S1054661816030238
Cites_doi 10.1111/j.1365-2788.2010.01303.x
10.1145/175247.175255
10.1080/01421590500314561
10.1038/138032a0
10.4135/9781452231235
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Keywords manifestation rate of a feature
cognitive means
intelligent system
organizational stress
decision-making and justification of diagnostic and intervention decisions
threshold logic by applying soft calculating
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Snippet The development of an intelligent system for the diagnostics and intervention of organizational stress (DIOS) is devoted in this paper. This system is...
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StartPage 459
SubjectTerms Algorithms
Analysis
Computer Science
Decision making
Design
Image Processing and Computer Vision
Intelligent systems
Pattern Recognition
Processing
Questionnaires
Representation
Software
Stress
Studies
Understanding of Images
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Title Investigation and development of an intelligent system for the diagnostics and intervention of organizational stress
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