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Computing mean absolute deviation under uncertainty

delete2010-03-01
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Barbara Gładysz
A
Adam Kasperski *
DOI:10.1016/j.asoc.2009.08.012delete
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Abstract

Abstract

En 中文
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. (C) 2009 Elsevier B.V. All rights reserved.
Keywords:
Absolute deviation
Median
Interval
Fuzzy interval
Possibility theory
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Journal

Applied Soft Computing cover
Applied Soft Computing
IF:
6.6
Papers:
1.4W
Citations:
4.8W

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wroclaw university of science & technology
Scholars:
7.4K
Papers: 7.1K
Citations: 2
Cited Papers

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