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Computing mean absolute deviation under uncertainty

delete2010-03-01
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PRE
AI
B
Barbara Gładysz
A
Adam Kasperski *
DOI:10.1016/j.asoc.2009.08.012delete
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摘要

摘要

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.
Keyword:
Absolute deviation
Median
Interval
Fuzzy interval
Possibility theory
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期刊

Applied Soft Computing 封面图
Applied Soft Computing
IF:
6.6
论文数:
1.4W
被引数:
4.8W

机构

W
wroclaw university of science & technology
学者数:
7.4K
论文数: 7.1K
被引数: 2
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