平滑插值的模糊推理方法

Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems Pub Date : 1995-11-20 DOI:10.1109/ANNES.1995.499454

S. Nakamura, E. Uchino, T. Yamakawa

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引用次数: 0

摘要

本文描述了一种模糊推理方法，其结果属于C/sup 1/类。提出的模糊推理方法是人工插值。我们假设人类在插值时考虑两个方向。一个给定点的波动方向是一个，另一个指向邻近数据的方向是另一个。这两个方向都反映在模糊规则的结果部分。没有必要将它们作为知识给出，这些只是作为给定的数据对决定的。即使给出了新的数据，也没有必要增加规则。推理结果可以与新数据相对应，而无需增加规则。通过实际数据的应用和计算机仿真，验证了该方法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Fuzzy reasoning method for smooth interpolation

The paper describes a fuzzy reasoning method whose result belongs to the C/sup 1/ class. The proposed fuzzy reasoning method refers to interpolation by man. We suppose that humans consider two directions while interpolating. A direction of fluctuation at a given point is one, and a direction toward neighboring data is the other. Both directions are reflected in the consequent part of the fuzzy rule. It is not necessary to give them as knowledge, these are only decided as given data pairs. Even if new data is given, if is not necessary to increase a rule. The reasoning result can correspond to new data without increasing a rule. The effectiveness of the present method as verified by applications to practical data and by computer simulations.

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Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems

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