During the last decade there has been resurgency in the application of fuzzy methods for the classification of remote sensing images, which are dominated by mixed pixels. These methods are used to unmix the classes within the mixed pixels or in other words perform sub-pixel classification. The methods appear to be more suitable in the Indian conditions where the areas are largely dominated by mixture of classes. In this paper, an overview of some prevalent fuzzy classification methods and the accuracy measures specifically designed to evaluate the performance of fuzzy classifications is presented.