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Hierarchical fuzzy situational networks for online decision-making: Application to telecommunication systems

机译:用于在线决策的分层模糊情境网络:在电信系统中的应用

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The paper considers a new approach to online decision-making in telecommunication systems based on applying hierarchical fuzzy situational networks. This approach allows one to make efficient decisions in the conditions of dynamically changing external factors. Mathematical foundations for creation and application of hierarchical fuzzy situational networks to implement the fuzzy logical inference in telecommunication networks are presented. As a case study for implementation of the offered methods the problem of alternative multipath routing is analyzed. The architecture of the online decision-making system, based on hierarchical fuzzy situational networks and oriented on its multi-agent implementation, is considered. The generalized online decision-making system functioning algorithm is developed. The architecture of an intelligent agent of the online decision-making system is shown. The assessment of efficiency for the approach to construction of online decision-making systems demonstrates its benefits in comparison with the known probabilistic methods of decision-making in telecommunication networks. It also proves a possibility of functioning of the offered online decision-making system in a real or near real mode. (C) 2019 Elsevier B.V. All rights reserved.
机译:本文考虑了一种基于层次化模糊情境网络的电信系统在线决策新方法。这种方法允许人们在动态变化的外部因素条件下做出有效的决策。提出了用于创建和应用分层模糊情境网络以在电信网络中实现模糊逻辑推理的数学基础。作为实现所提供方法的案例研究,分析了替代多径路由的问题。考虑了基于分层模糊情境网络并基于多主体实现的在线决策系统的体系结构。开发了通用的在线决策系统功能算法。显示了在线决策系统的智能代理的体系结构。与已知的电信网络中的概率决策方法相比,对在线决策系统构建方法的效率评估表明了其优势。这也证明了所提供的在线决策系统以实模式或近实模式运行的可能性。 (C)2019 Elsevier B.V.保留所有权利。

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