一种自适应模糊逻辑:模糊平方

D. Molinari, Zei Shuk Park, M. Otha
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引用次数: 3

摘要

本文介绍了一种“连续逻辑”,它是由模糊与或逻辑的加权和构成的,称为模糊平方。为了提供对它的适应性,必须选择一个参数。考虑了网络模型和改进的遗传算法来满足模糊平方逻辑的需要。仿真结果表明,该逻辑既能学习简单逻辑的行为,也能学习非线性控制系统的行为。
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An adaptive fuzzy logic: fuzzy squared
This paper introduces a "continuous logic" constructed as a weighted sum of fuzzy AND and OR logics, called fuzzy squared. In order to provide adaptability to it, a parameter must be selected. A network model and a modified genetic algorithm are considered to meet the fuzzy squared logic needs. Simulations demonstrate that this logic can learn the behavior of a simple logic as well as of nonlinear control systems.
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