Stability analysis in the framework of decision making under risk and uncertainty

被引：0

作者：

Ivanov, Dmitry ^{[1
]}

Arkhipov, Alexander ^{[2
]}

Tolkacheva, Vera ^{[2
]}

Sokolov, Boris ^{[3
]}

机构：

[1] Tech Univ Chemnitz, Chemnitz, Germany

[2] Saint Petersburg State Univ Technol & Design, St Petersburg, Russia

[3] Russian Acad Sci, Saint Petersburg Inst Informat & Automat SPIIRAS, Moscow, Russia

来源：

NETWORK-CENTRIC COLLABORATION AND SUPPORTING FRAMEWORKS | 2006年 / 224卷

基金：

俄罗斯基础研究基金会;

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Efficient methods of collaborative networks (CN) configuration should provide models and algorithms of decision-making under risk and uncertainty. In this paper, we present a multi-disciplinary framework of decision making in CN. Particular feature of this framework is stability analysis. We analyse basics of stability analysis and its challenges in the CN settings. Then we present a conceptual model of CN stability analysis and its dynamical interpretation. The stability analysis can be considered as an efficient tool to improve the quality of CN planning and execution models.

引用

页码：211 / +

页数：2

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