The Concept of Decision Support in Evaluating the Functional State of Complex System of the Biological type

DOI

10.2991/csit-19.2019.26How to use a DOI?

Keywords

decision support, functional state, complex system

Abstract

The aim of the work is to develop a conceptual approach to decision support in assessing the functional state of a complex system of biological type. The definition of the functional state and the basic principles of its evaluation for complex systems of biological type on the basis of system representations are formulated. A situational model of the problem environment as a set-theoretic composition of the main components and evaluation functions was developed, which allowed to formulate the definition of the problem situation. The structure of the application of data mining to assess the functional state of a complex system using as feedback models of three levels - strategic, tactical and operational. A system of coordinated models for decision-making in assessing the functional state of a complex system based on causal representations in the form of Markov chains and Petri nets is proposed.

Copyright

© 2019, 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  - Rashit Nasyrov
AU  - Nafisa Yusupova
AU  - Rustem Zulkarneev
AU  - Alexandr Kruzhkov
PY  - 2019/12
DA  - 2019/12
TI  - The Concept of Decision Support in Evaluating the Functional State of Complex System of the Biological type
BT  - Proceedings of the 21st International Workshop on Computer Science and Information Technologies (CSIT 2019)
PB  - Atlantis Press
SP  - 151
EP  - 156
SN  - 2589-4900
UR  - https://doi.org/10.2991/csit-19.2019.26
DO  - 10.2991/csit-19.2019.26
ID  - Nasyrov2019/12
ER  -