Solutions to problems with imprecise data-An engineering perspective to generalized uncertainty models

被引：24
作者：
Pannier, S. [1 ]
Waurick, M. [1 ]
Graf, W. [1 ]
Kaliske, M. [1 ]
机构：
[1] Tech Univ Dresden, Inst Struct Anal, D-01062 Dresden, Germany
来源：
MECHANICAL SYSTEMS AND SIGNAL PROCESSING | 2013年 / 37卷 / 1-2期
关键词：
Fuzzy probability based fuzzy randomness; Generalized uncertainty models; Fuzzy randomness; Fuzzy probability; Imprecise data; BEHAVIORAL-MODEL; FUZZY; PROBABILITY; PREVISIONS; SIMULATION; TESTS; PAPER;
D O I：
10.1016/j.ymssp.2012.08.002
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
The present paper is about data corrupted by both aleatoric and epistemic uncertainty. A unification of randomness, which represents aleatoric uncertainty, and fuzziness, which represents epistemic uncertainty, is dicussed in detail. As a result, the main uncertainty characteristics, i.e., variability, incompleteness and imprecision, can be described. With a focus on engineering problems the aim is to bridge the imprecision of data to the decision making process. Suitable fields of applications are highlighted; remarks on the numerical treatment are given. (c) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码：105 / 120
页数：16
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