Abstract: Decision tree classification technique is one of the most popular techniques in the emerging field of data mining. There are various methods for constructing decision tree. Induced Decision tree (ID3) is the basic algorithm for constructing decision trees. After ID3 various algorithms were proposed by different researchers and authors those are extensions of ID3 algorithm. This paper contains a survey about the improved methods of ID3 decision tree classification and those are FID3 (fixed induced decision tree) and VPRSFID3 (variable precision rough set fixed induced decision tree). In this short survey we will investigate which method is best among all the other methods.