几何兼容性修改在FuzzyCLIPS

V. Cross, A. Rajagopal
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引用次数: 1

摘要

市场上大多数模糊系统开发工具中的模糊推理方法都是使用最小算子定义规则关系,并采用推理的组合规则。该方法等价于集合论相容修正推理,但几何相容修正推理采用了度量类相容测度中的伪平衡相容测度。这种推理方法可以在模糊输入不与任何规则的模糊前件相交的情况下,如在稀疏规则库中,确定结论或动作。没有集合论相容测度具有这种能力。由于这种能力,伪平衡兼容性措施目前正在FuzzyCLIPS中作为一种新的推理类型进行实施和测试,FuzzyCLIPS是加拿大国家研究委员会在互联网上提供的模糊系统开发工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Geometric compatibility modification in FuzzyCLIPS
The fuzzy inference method in most of the marketed development tools for fuzzy systems define rule relations using the min operator and employ the compositional rule of inference. This method is equivalent to set-theoretic compatibility modification inference Geometric compatibility modification inference, however, employs the dissemblance compatibility measure from metric class of compatibility measures. This inference method can determine a conclusion or an action even when the fuzzy input does not intersect the fuzzy antecedent of any rule such as in sparse rule bases. No set-theoretic compatibility measure has this capability. Because of this capability, the dissemblance compatibility measure is currently being implemented and tested as a new inference type in FuzzyCLIPS, a fuzzy systems development tool available on the Internet from the National Research Council of Canada.
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