Intelligent system of semiotic type for decision-making support in Russia energy sector based on situational management conception

DOI

10.2991/itsmssm-17.2017.89How to use a DOI?

Keywords

semiotic modeling, intelligent system, semantic modeling tools, expert system

Abstract

The ideas of D.A. Pospelov in situational management and semiotic modeling are proposed to interpret by means of modern information technologies. Semantic modeling is regarded as one of the areas of semiotic modeling, which is dominated by a graphical representation of developed models. It's shown the possibility to realize the general scheme of situational management using author's tools of semantic modeling, expert system and Contingency Management Language. The architecture of the Situational Polygon is proposed, which is considered as a prototype of an intelligent system of semiotic type for decision-making support in Russia energy sector based on situational management conception, including author's semantic modeling tools, contingency management language (CML) and expert system Advice.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Liudmila Massel
AU  - Aleksei Massel
PY  - 2017/12
DA  - 2017/12
TI  - Intelligent system of semiotic type for decision-making support in Russia energy sector based on situational management conception
BT  - Proceedings of the IV International research conference "Information technologies in Science, Management, Social sphere and Medicine" (ITSMSSM 2017)
PB  - Atlantis Press
SP  - 423
EP  - 429
SN  - 2352-538X
UR  - https://doi.org/10.2991/itsmssm-17.2017.89
DO  - 10.2991/itsmssm-17.2017.89
ID  - Massel2017/12
ER  -