| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4637446 | Applied Mathematics and Computation | 2006 | 13 Pages |
Abstract
A new approach for ranking fuzzy numbers based on a fuzzy simulation analysis (FSA) method is proposed. A combination method including computer and math application is developed first. The method is intuitive and can be used to order fuzzy numbers easily. The approach is illustrated by numerical examples, showing that it overcomes the shortcoming existing fuzzy ranking approaches, especially when it is difficult to use other methods to solve ranking fuzzy problems.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Huijun Sun, Jianjun Wu,