Paper Title
A New Fuzzy-number Classification Method based on Similarity Measure

Abstract
This paper presents a new method based on fuzzy-number similarity measure for handling the fuzzy-number classification problems. The proposed method has the following advantages: it uses a simply way to find out all of the intersection among fuzzy numbers and can obtain the more suitable classification results than the existing method. Index Term - Classification analysis, Generalized Fuzzy Number, Similarity Measure.