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Hierarchical Fuzzy Situational Networks for Online Decision Support in Distributed Cyber-Physical Systems

机译:分布式网络物理系统中的在线决策支持的分层模糊情境网络

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The paper suggests a new approach to create online decision support systems (ODSSs) to control distributed cyber-physical systems (DCPSs). We consider ODSSs which arc based on applying hierarchical fuzzy situational networks together with fuzzy mathematical programming and fuzzy logical inference. These methods allow one to make efficient decisions in the conditions of dynamically changing external factors. The conceptual principles to create ODSSs arc provided. The generalized algorithm of ODSS' functioning is developed. As a case study we consider a multi-service communication network which is a communication basis of DCPSs and one of the most complicated subsystem operating with fuzzy data. The performed evaluation of the proposed approach demonstrates its significant gain in comparison with known statistical methods and methods based on the application of reference situations. Based on the results of the evaluation, the structure of intelligent agents' software implementing ODSS for DCPSs is developed.
机译:本文提出了一种新的方法来创建在线决策支持系统(ODSSs)来控制分布式网络物理系统(DCPSs)。我们认为这基于圆弧与模糊数学规划和模糊逻辑推理运用分层模糊情境网络连接在一起ODSSs。这些方法使一个在动态变化的外部因素的条件做出有效的决策。概念原理创建ODSSs弧提供。 ODSS”功能的通用算法。作为一个案例研究中,我们考虑多业务通信网络,这是DCPSs的通信基础,并与模糊数据的最复杂的子系统的操作之一。该方法的进行评估演示了基于基准的情况下应用已知的统计方法和方法相比其显著增益。根据评估结果,智能代理软件实现了ODSS的DCPSs结构开发。

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