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

• Published in: Pattern 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
• Language: English
• Published: Boston Springer US 01.12.2013; Springer Nature B.V
• Subjects: 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; 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
• ISSN: 1054-6618; 1555-6212
• DOI: 10.1134/S1054661813040172

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.