An Effective Fuzzy Set Theory with Neural Networks for using Feature Selection and Classification

Abstract: In fuzzy set theory, Fuzzy set theory defines set membership as a possibility distribution. The fuzzy set theory can be used in a wide range of domains in which information is incomplete or imprecise, such as bioinformatics. The uncertainty may arise due to partial information about the problem, or due to information which is not fully reliable, or due to inherent imprecision in the language with which the problem is obtained, or due to receipt of information from more than one source about the problem which is conflicting. Fuzzy set theory is an excellent mathematical tool to handle the uncertainty and vagueness inherent to human perception, speech, thinking and decision making. In this paper used to how to find the error and make the analysis will be made up with the help of neural networks Keywords: Fuzzy Rules, Fuzzy Classifier, nueral networks, artifial nueral networks.