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 in | Pattern recognition and image analysis Vol. 23; no. 4; pp. 459 - 467 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Boston
Springer US
01.12.2013
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
ISSN | 1054-6618 1555-6212 |
DOI | 10.1134/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. |
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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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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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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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