二类模糊逻辑:理论与应用

O. Castillo, P. Melin, J. Kacprzyk, W. Pedrycz
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引用次数: 596

摘要

二类模糊集可以更好地对不确定性和不精确性进行建模。这些2型模糊集最初由Zadeh在1975年提出,本质上是“模糊模糊”集,其中模糊隶属度是1型模糊集。Mendel和Liang引入了新的概念,允许具有一个上隶属函数和一个下隶属函数的2型模糊集的刻划;这两个函数可以分别用1型模糊集隶属函数表示。这两个函数之间的间隔表示不确定性的足迹(footprint of uncertainty, FOU), FOU用于描述2型模糊集。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Type-2 Fuzzy Logic: Theory and Applications
Type-2 fuzzy sets are used for modeling uncertainty and imprecision in a better way. These type-2 fuzzy sets were originally presented by Zadeh in 1975 and are essentially "fuzzy fuzzy" sets where the fuzzy degree of membership is a type-1 fuzzy set. The new concepts were introduced by Mendel and Liang allowing the characterization of a type-2 fuzzy set with a superior membership function and an inferior membership function; these two functions can be represented each one by a type-1 fuzzy set membership function. The interval between these two functions represents the footprint of uncertainty (FOU), which is used to characterize a type-2 fuzzy set.
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