Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
497251 | Applied Soft Computing | 2010 | 6 Pages |
Abstract
In this paper the problem of computing the mean absolute deviation in a set of uncertain variables is discussed. The uncertainty is modeled by closed intervals and fuzzy intervals. Some polynomial algorithms for determining the lower and upper bounds for the mean absolute deviation under interval uncertainty are proposed. Possibility theory is then applied to generalize the interval uncertainty representation to the fuzzy one.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Barbara Gładysz, Adam Kasperski,