| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1712944 | Journal of Systems Engineering and Electronics | 2008 | 7 Pages |
Abstract
Based on rough similarity degree of rough sets and close degree of fuzzy sets, the definitions of rough similarity degree and rough close degree of rough fuzzy sets are given, which can be used to measure the similar degree between two rough fuzzy sets. The properties and theorems are listed. Using the two new measures, the method of clustering in the rough fuzzy system can be obtained. After clustering, the new fuzzy sample can be recognized by the principle of maximal similarity degree.
Keywords
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Physical Sciences and Engineering
Engineering
Control and Systems Engineering
Authors
Li Jian, Xu Xiaojing, Shi Kaiquan,