CLASSIFICATION OF DATA BY USING ROUGHF SET THEORY AND FUZZY RULE BASE SYSTEM FOR DATA MINING.

Abstract

The paper gives basic ideas of classification of data by using rough set theory - a new approach to vague data analysis. The lower and the upper approximation of a set the basic operations of the theory, are intuitively explained and formally defined. Some applications of rough set theory are briefly outline and some future prob-lems pointed out. Rough set theory (RST) is one of the techniques used for feature selection. The rough set theory is a mathematical approach to data analysis, based on classification. One of the main objectives of RST is to reduce data size. RST can solve many problems occurred in data reduction, feature selection and pattern extraction so that we can get rid of redundant data even in the information system with null values or missing data.And a rule base system consists of if-then rules, a bunch of facts, and an interpreter controlling the application of the rules. Fuzzy rule base System extracts rules for the datasets for