Multi-Agent Analysis Model of Resource Allocation Variants to Ensure Fire Safety

Andrey Smirnov, Renat Khabibulin, Nikolay Topolski, Denis Tarakanov

2019

Abstract

Algorithmization and program implementation of theoretical positions of multi-agent analysis of resource allocation variants to ensure fire safety were conducted. The informational decision support system was developed, within which variations of resource allocation in a multi-agent management system are offered. The feature of the developing informational system from similar is an ability of approximations of expert’s opinion accounting multi-level procedure of variation’s analysis in a multi-agent management system. The multi-level procedure of variation’s analysis allows to approximate preference of the management centre more completely and, therefore, to reduce the subjectivity of the process of making decisions on resource allocation to ensure fire safety. The procedure includes two main stages: on the first stage component-goals are distributed by sets; on the second stage we get the ranking according to the preference of the management centre. Using quantitative measures of the Shannon entropy it is proved that the offered multi-level procedure of variations analysis in multi-agent management system allows to approximate the preference of the management centre more completely in comparison with known methods of variations of resource allocation analysis in long-term planning tasks.

Paper Citation

in Harvard Style

Smirnov A., Khabibulin R., Topolski N. and Tarakanov D. (2019). Multi-Agent Analysis Model of Resource Allocation Variants to Ensure Fire Safety.In Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-372-8, pages 391-398. DOI: 10.5220/0007716403910398

in Bibtex Style

@conference{iceis19,
author={Andrey Smirnov and Renat Khabibulin and Nikolay Topolski and Denis Tarakanov},
title={Multi-Agent Analysis Model of Resource Allocation Variants to Ensure Fire Safety},
booktitle={Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2019},
pages={391-398},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007716403910398},
isbn={978-989-758-372-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Multi-Agent Analysis Model of Resource Allocation Variants to Ensure Fire Safety
SN - 978-989-758-372-8
AU - Smirnov A.
AU - Khabibulin R.
AU - Topolski N.
AU - Tarakanov D.
PY - 2019
SP - 391
EP - 398
DO - 10.5220/0007716403910398