Intellectual technologies and systems of artificial intelligence to support decision-making

DOI: 10.31673/2412-4338.2019.025359

  • Ткаленко О. М. (Tkalenko O. M.) State University of Telecommunications, Kyiv
  • Макаренко А. О. (Makarenko А. О.) State University of Telecommunications, Kyiv
  • Полоневич О. В. (Polonevych О. V.) State University of Telecommunications, Kyiv

Abstract

The necessity of intellectualization of information and organizational processes in the management of socio-economic systems, the necessity of construction and implementation of methods and systems of artificial intelligence and intellectual technologies of decision support are substantiated. The components of information technologies of business intelligence and knowledge management, their properties, features, directions of modeling are considered.
Approaches to creation of intelligent decision support systems, intelligent management systems and choice of knowledge presentation method are defined. The basic principles of fuzzy intellectual systems for supporting managerial decision making are investigated.

Keywords: intellectual technologies, information system, artificial intelligence, modeling, neural networks, business intelligence, knowledge management.

References
1. Gluhih I.N. Intelligent Information Systems. Prospect, 2017. Print.
2. Gujva V.М. Information systems and technology at enterprises. Кiev.: КNEU, 2001. Print.
3. Кozlov А.N. Intelligent Information Systems. FHBOU VPO Permskaya GSHA, 2014. Print.
4. Rijov V.А. Technologies of a virtual situational center for decision making in crisis situations. RDR-Centre. RUSS – Inc. 2002. Print.
5. Batirshin I.Z. Theory and practice of fuzzy hybrid systems. Мoscow: Fizmatlit, 2007. Print.
6. Vagin V.N. “Some basic principles of building intelligent real-time decision support systems”. Izvestiya RAN. Известия РАН. Theory and control systems. №6. Print.
7. Ledeneva Т.М. “Design features of fuzzy inference systems”. Information Technology. 2015. №7. Print.
8. Glushan V.М. “Fuzzy models and methods of multi-criteria selection in intelligent decision support systems”. Intelligent SAPR. 2014. №4. Print.
9. Nechaev V.V. “Intelligence is a strategic resource of the information society”. Problemi informatizatsii. 2001. №1. Print.
10. Рudzinsky V.V. Intelligent transport systems and automobile transport, functional basis. Jitomir: JDTU, 2014. Print.

Issue
No 2 (2019)
Section
Articles