A fuzzy-logic-based approach to qualitative modeling
A fuzzy-logic-based approach to qualitative modeling
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DOI：
10.1109/tfuzz.1993.390281
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发表时间：
1993-02
期刊：
影响因子：
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通讯作者：
M. Sugeno;T. Yasukawa
中科院分区：
文献类型：
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作者：
M. Sugeno;T. Yasukawa
本文讨论了一种基于模糊逻辑的定性建模的一般方法。定性建模方法分为模糊建模和语言逼近两部分。它提出了使用模糊聚类方法（模糊c均值方法）来识别模糊模型的结构。为了阐明所提出的方法的优点，它还显示了一些建模的例子，其中一个模型的动态过程和一个模型的人类操作员的控制动作。
This paper discusses a general approach to quali- tative modeling based on fuzzy logic. The method of qualitative modeling is divided into two parts: fuzzy modeling and linguistic approximation. It proposes to use a fuzzy clustering method (fuzzy c-means method) to identify the structure of a fuzzy model. To clarify the advantages of the proposed method, it also shows some examples of modeling, among them a model of a dynamical process and a model of a human operator's control action.