Abstract: When categorization is uncertain, there are two theories of feature prediction: the Rational Model and the single-category view. The Rational Model assumes that people will consider all the categories an object could belong to when they judge the likelihood that the object has a feature. The single-category view suggests that people don’t consider multiple categories but only consider the target category. The article will introduce the development of the single-category view

Key words: uncertain categorization, the Rational Model, the single-category view, feathers prediction