SURVEY OF DATA CLASSIFICATION USING FUZZY RULE BASE SYSTEM

Abstract

Data mining is individual of the mainly significant possessions of any organization and especially in healthcare environment. Healthcare milieu is affluent of information though generate familiarity absent of this information is still a grave challenge. Realistic use of healthcare database systems and information discovery and supervision equipment like data mining can exceptionally provide to improvement resolution creation in healthcare. Renovate massive, complex and various healthcare data into information can assist in overprotective cost and preserve high quality of patient care. A variety of data mining technique  have gradually more functional to attempt a variety of problems and confront of information detection in administrative and clinical aspect of healthcare. We have pre process the data so that values that are deliberate in dissimilar scale can be adjusted to notionally common scale. To Perform feature selection for dimensionality reduction. Perform clustering by implementing Fuzzy c-means clustering algorithm. generate Fuzzy rules sousing generated clusters. generate a Fuzzy Rule Base System using these rules for classification