A Soft Computing Method for Typical Computation in Medical Data

Abstract

There are several methods of Soft Computing for analyzing the complex data for making decisions and predictions. Rough Set Theory (RST) is one of the best and relatively new intelligent techniques used in different research area for making predictions. RST is used to discover the patterns of data, handle all the redundant objects and attributes. RST is majorly used for extraction the rules from the given data. In this paper, we will use a medical data set example of cancer for retrieving the rule which is useful to make prediction for the unknown class.