全球智库信息集成服务系统(G2TT): Robustness testing of model based multiple criteria decisions: fundamentals and applications.

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来源类型	Article
规范类型	其他
DOI	10.1142/S0219622015500157
	Robustness testing of model based multiple criteria decisions: fundamentals and applications.
	Wierzbicki AP; Makowski M; Granat J
发表日期	2015
出处	International Journal of Information Technology and Decision Making 14 (5): p. 1035
出版年	2015
语种	英语
摘要	Robustness or insensitivity is a desirable property of decisions; however, most texts on robustness and/or sensitivity analysis do not define it precisely. A broad literature in this field concentrates on robust design or decisions (including robust optimization). This paper focuses on robustness testing, that is, checking whether a design has actually resulted in robust properties of the system if some of basic assumptions are changed. We propose a general framework of such robustness testing and show that robustness is a property of the relation between three (classes of) models: a basic model of the decision situation, a second model of possible perturbations of the first model, and a model of implementation of the decision, optionally taking into account some measurements of the impact of perturbations. Typical approaches to robustness or sensitivity analysis assume tacitly that the first two models can be combined and analyze parameters deviations in one combined model. However, the role of the first two models can be asymmetric if some optimization of the decision is performed on the first model. We extend this framework, intended originally for single criteria (scalar) optimization to multiple criteria (vector) optimization. The proposed approach is illustrated by diverse examples.
主题	Energy (ENE)
关键词	robustness sensitivity analysis multiple-criteria analysis
URL	http://pure.iiasa.ac.at/id/eprint/11366/
来源智库	International Institute for Applied Systems Analysis (Austria)
引用统计
资源类型	智库出版物
条目标识符	http://119.78.100.153/handle/2XGU8XDN/130305
推荐引用方式 GB/T 7714	Wierzbicki AP,Makowski M,Granat J. Robustness testing of model based multiple criteria decisions: fundamentals and applications.. 2015.