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Vestnik of Astrakhan State Technical University. Series: Management, Computer Sciences and Informatics, 2013, Number 1, Pages 38–46
(Mi vagtu5)
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This article is cited in 1 scientific paper (total in 1 paper)
TECHNICAL SYSTEMS: MANAGEMENT AND MODELING
Development of the system of the decision support for head of fire extinguishing based on the adaptive neural fuzzy inference systems (anfis) during the fire on the territory of seaport
A. V. Kiper, T. S. Stankevich Baltic State Academy of Fishing Fleet, Kaliningrad
Abstract:
The features of substantiation and development of the decision support system for the head of fire extinguishing are considered. The system is intended to improve the reliability of management decisions in predicting the dynamics of the fire spread and in determining the necessary fire fighting forces and equipment under uncertainty. For definition the dynamics of the fire spread and the necessary fire fighting forces and equipment the approach based on the Adaptive Neural Fuzzy Inference Systems (ANFIS) is offered. During the development of the decision support system input parameters were selected using the method of expert assessment and were evaluated. A database, which enables users to store and use data in predicting the dynamics of the fire spread and in determining the necessary fire fighting capabilities, is created. The database replenishment by the user in the course of work is realized. The task of forming the training samples for the system is solved. The results of predicting the spread of dangerous effects of fire and determination of necessary for localization and liquidation forces and equipment are evaluated.
Keywords:
decision support system, neural fuzzy system, ANFIS, prediction.
Received: 05.12.2012
Citation:
A. V. Kiper, T. S. Stankevich, “Development of the system of the decision support for head of fire extinguishing based on the adaptive neural fuzzy inference systems (anfis) during the fire on the territory of seaport”, Vestn. Astrakhan State Technical Univ. Ser. Management, Computer Sciences and Informatics, 2013, no. 1, 38–46
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https://www.mathnet.ru/eng/vagtu5 https://www.mathnet.ru/eng/vagtu/y2013/i1/p38
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Abstract page: | 482 | Full-text PDF : | 134 | References: | 48 | First page: | 1 |
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