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.