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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Guixiang Wang Xinni Gao Yunping Wen |
| Copyright Year | 2009 |
| Abstract | We know that ranking fuzzy numbers plays an important role in decision-making and some other fuzzy application areas. In this paper, a new definition on mean of fuzzy number---quasi-mean is given. Based on the quasi-means and fuzzy degree we propose a new method for ranking fuzzy numbers. This method has the characteristics of generality, less calculation, high efficiency and it is especially tailed to evaluate alternatives which are overlapped. From the numerical examples in the paper, we can see the new method is reasonable and accurate. Furthermore, it's more in line with the practice in real world. |
| Starting Page | 1013 |
| Ending Page | 1018 |
| File Size | 252240 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424455430 |
| e-ISBN | 9781424455447 |
| DOI | 10.1109/ICICIC.2009.302 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-12-07 |
| Publisher Place | Taiwan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Fuzzy sets Fuzzy control Level set Decision making Educational institutions Cybernetics |
| Content Type | Text |
| Resource Type | Article |
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