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THE USE OF FUZZY RULES FOR THE DESCRIPTION OF ELEMENTS OF THE HYDROLOGICAL CYCLE

机译:模糊规则在水循环要素描述中的应用

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Fuzzy rules form the basis of fuzzy control systems, which have been and are being used in many practical applications, especially in industrial ones in Japan and Europe. However, fuzzy control systems include feedback which can help the adjustment process, in contrast the open-loop modeling that we are presenting here. In this paper a fuzzy rule-based methodology for the description of infiltration, surface runoff and unsaturated flow is described. Fuzzy rules are derived according to the expert-specified structure using synthetical data sets. Hierarchical rule systems are derived under consideration of space-time inhomogeneities. Compared to traditional modeling fuzzy systems provide a robust tool which can handle non-linearities, without requiring a prescribed functional structure. The simple rule structure makes the models very transparent. Rule-based models are less accurate than PDE-based mathematical modeling. In the case of heterogeneous real-life problems a purely analytical modeling can often only give a false impression of accuracy. The gain in simplicity, computational speed and flexibility may compensate for the possible loss in accuracy. Furthermore the fuzzy rule-based models can easily be coupled; for example, a model for flow in porous media may be coupled with a bacteriological growth model. They are capable of combining physical laws, expert knowledge and measurement data. [References: 4]
机译:模糊规则构成模糊控制系统的基础,模糊控制系统已经并且正在许多实际应用中使用,特别是在日本和欧洲的工业应用中。但是,模糊控制系统包含的反馈可以帮助您进行调整,与之相反,我们在此处介绍的开环建模却是如此。本文介绍了一种基于模糊规则的方法,用于描述入渗,地表径流和非饱和流。使用综合数据集,根据专家指定的结构得出模糊规则。层次规则系统是在考虑时空不均匀性的基础上得出的。与传统建模相比,模糊系统提供了一种强大的工具,可以处理非线性,而无需规定的功能结构。简单的规则结构使模型非常透明。基于规则的模型不如基于PDE的数学模型准确。对于异构的现实生活问题,纯分析模型通常只能给人以错误的准确性印象。简单性,计算速度和灵活性方面的收益可以弥补准确性方面的可能损失。此外,基于模糊规则的模型可以轻松耦合。例如,多孔介质中流动的模型可以与细菌生长模型耦合。它们能够结合物理定律,专家知识和测量数据。 [参考:4]

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