Simulating engineering systems under uncertainty and optimal decision making

被引：0
|
作者：
K. Yu. Mashunin
Yu. K. Mashunin
机构：
[1] Far Eastern Federal University,
来源：
Journal of Computer and Systems Sciences International | 2013年 / 52卷
关键词：
Optimum Point; System Science International; Vector Optimization; Relative Estimate; Vector Optimization Problem;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
A new technology (technique) that helps construct a mathematical model of a complex engineering system by optimal decision making based on it is given. To construct the model of an engineering system, methods of regressive analysis are used to transform the initial (experimental) data into a vector (multiobjective) mathematical programming problem. To solve it, methods are presented that rely on criteria normalization and principle of guaranteed result. The technique of constructing models of engineering systems, methods of solving the vector mathematical programming problem and optimal decision making are demonstrated by the test examples in Matlab.
引用
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页码：519 / 534
页数：15
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