DOIONLINE 
DOIONLINE Publish In |
International Journal of Advances in Electronics and Computer Science-IJAECS |
 Journal Home Volume Issue |
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Issue |
Volume-5,Issue-3 ( Mar, 2018 ) | |||||||||
Paper Title |
A New Fuzzy-number Classification Method based on Similarity Measure | |||||||||
Author Name |
Shi-Jay Chen, Guan-Ying Huang, Yu-Ting Chien | |||||||||
Affilition |
Department of Information Management, National United University, No. 1, Lienda, Miaoli 36003, Taiwan, R.O.C | |||||||||
Pages |
36-39 | |||||||||
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. | |||||||||
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