Defuzzification in Fuzzy Controllers
Defuzzification in Fuzzy Controllers
复制标题
模糊控制器中的去模糊化
DOI：
10.3233/ifs-1993-1202
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发表时间：
1993
期刊：
影响因子：
--
通讯作者：
["H. Hellendoorn
中科院分区：
文献类型：
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作者：
["H. Hellendoorn
模糊控制理论中的一个重要课题是模糊控制器的整定。如果要调整一个模糊控制器，可以集中在规则的选择，隶属函数，输入和输出模糊集的数量和它们的重叠度，含义，连接操作，和去模糊化方法。所有这些选择都是密切相关的，而不是相互独立的。我们描述了六个重要的去模糊化方法和它们各自的优点和缺点，依赖于规则，域等。此外，我们给出了一种替代方法的情况下，输出模糊集有不同的形状或不对称的。我们通过几个例子来说明这一点。
An important subject in fuzzy control theory is tuning of a fuzzy controller. If one wants to tune a fuzzy controller, one can focus on the choice of rules, membership functions, number of input and output fuzzy sets and their degree of overlapping, implication, and connection operations, and defuzzification method. All these choices are closely related and in no way independent of each other. We describe six important defuzzification methods and their respective merits and shortcomings, dependent on the rules, domains, etc. Further, we give an alternative approach for the case in which the output fuzzy sets have different shapes or are asymmetrical. We illustrate this by several examples.