Static informational indicators of intellectual system quality

DOI №______

Authors

  • В. В. Вишнівський, (Vyshnivskyi V. V.) State University of Telecommunications, Kyiv
  • О. В. Зінченко, (Zinchenko O. V.) State University of Telecommunications, Kyiv
  • Ю. І. Катков, (Katkov Yu. I.) State University of Telecommunications, Kyiv
  • С. О. Сєрих, (Sierykh S. О.) State University of Telecommunications, Kyiv

Abstract

The article deals with the essence of the quality of intellectual systems and the use of information indicators of intellectual systems. Intellectual systems are an element of complex organizational and technical systems. Intelligent systems are designed to make decisions when managing complex organizational and technical systems. Counteraction to threats is carried out by the method of reorganization (self-organization) of the organizational structure of a complex organizational and technical system. To describe the response of complex organizational and technical systems to the impact of threats, indicators of the quality of the functioning of the system are used. Evaluation of the quality of intelligent systems from the complex organizational and technical system is assessed by static and dynamic quality indicators. The article proposes static indicators of intellectual systems for the evaluation of the quality of intellectual systems during reorganization. As the main such indicator unbalance is applied. Disorder is a characteristic of the structure. Unsettledness means the degree of harm manifestation on the mutual consistency of elements of a complex organizational and technical system. This is the degree of structuring of the system relative to the quality of achievement of the goal under the conditions of the impact of the threat on elements of a complex organizational and technical system. The considered information criteria for intelligent systems are static, since they do not take into account the dynamic properties of these intelligent systems. Thanks to the additive properties of the information provided by the criteria, it is easy to assess the quality of multi-channel intelligent systems.

Key words: intellectual systems, quality, information indicators of intellectual systems, reorganization, self-organization.

References (MLA)
1. ISO 9000-9004, ISO 8402. Product Quality Management. Moscov: Publishing Standards, 1988. Print.
2. ISO 9000-2001. Quality Management Systems Fundamentals and Vocabulary. Кyiv: State Statistics Committee of Ukraine, 2001. Print.
3. DSTU ISO 9001-2001. Quality Management Systems ‒ Requirements. Kyiv: State Statistics Committee of Ukraine, 2001. Print.
4. Soroko V. M. "Functioning and Development of the Quality Management System." Kyiv: NADU (2013): Print.
5. Veksler E. M., Rifa V. M., and Vasilevich L. F. Quality Management. Kyiv: Profesional, 2008. Print.
6. Shannon K. Works on Information Theory and Cybernetics. Moscow: Foreign Literature, 1963. Print.
7. Gorskij Yu. M. Information Aspects of Management and Modelling. Moscow: Nauka, 1978. Print.
8. Antsyferov S. S. "Estimation of the Level of Quality of Intellectual Systems." Iskustvennyj intellekt 3 (2013): 313-323. Print.
9. Braga V. V., Bubnova N. G. and others. Automated Information Technologies in Economics. Moscow: Finstatinform, 1997. Print.
10. Vyshnivskyi V. V., Katkov Yu. I., Zinchenko O. V., and Sierykh S. O. "Information Characteristics of Intelligent Systems." Zviazok 2 (2018): 56-65. Print.
11. Katkov Yu. I., Viyshnivskyi V. V., and Serykh S. O. "Estimation of the Processes of Reorganization of the System with Critical Infrastructure." Zviazok 6 (2017): 57-65. Print.
12. Danik Yu. H., Katkov Yu, I., and Pichuhin M. F. National Security: Preventing Critical Situations. Zhytomyr: Ruta, 2006. Print.
13. Bongard M. M. Problems of Recognition. Moscow: Nauka, 1967. Print.
14. Bogdanov A. A. Sketches of Organizational Science. Moscow: Center for Humanitarian Technologies. http://gtmarket.ru/laboratory/basis/5926. Web. 25.03.2018.

Published

2018-12-06

Issue

Section

Articles