G2TT
来源类型Monograph (IIASA Collaborative Paper)
规范类型论文
Mathematical Methods for the Analysis of Hierarchical Systems. 1. Problem Formulation, and Stochastic Algorithms for Solving Minimax and Multiobjective Problems.
Ereshko F; Fedorov V; Zavriev SK
发表日期1984
出版者IIASA, Laxenburg, Austria: CP-84-019
出版年1984
语种英语
摘要This is the first of two papers dealing with mathematical methods that can be used to analyze hierarchical systems. In this paper, the authors look at the situation that arises when certain decision-making powers are delegated to various elements within a hierarchical structure. It is found that these elements inevitably begin to operate in accordance with their own interests, which are not necessarily those of the system as a whole. Thus we have the problem of how to distribute the decision-making functions between the central body and the other parts of the system in such a way that the efficiency of the control system is maximized with respect to the global criterion.
主题Interactive Decision Analysis Program (IDA)
URLhttp://pure.iiasa.ac.at/id/eprint/2558/
来源智库International Institute for Applied Systems Analysis (Austria)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/122942
推荐引用方式
GB/T 7714
Ereshko F,Fedorov V,Zavriev SK. Mathematical Methods for the Analysis of Hierarchical Systems. 1. Problem Formulation, and Stochastic Algorithms for Solving Minimax and Multiobjective Problems.. 1984.
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