期刊文献+

不确定规划模型及其算法研究 被引量:2

Uncertain program model and study of algorithm
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摘要 分析并建立不确定规划的期望值处理模型,机会测度分析模型,极大化事件实现机会的数学模型。给出不确定环境下多层规划的数学模型,不确定Monte-Carlo规划,不确定多属性决策区间熵权规划以及不确定结构规划的神经网络优化模型。并给出不确定规划的混合智能算法。不确定复杂问题决策系统表象和实质各异,有效分析、评价的方式和方法多样,定量的和科学的描述与解析既是问题的深入的前提,也是复杂系统得以优化的保障。 The expectation disposal model of the uncertain program, probability measurement analysis model, success of maximal event probability model are analysed and determined. Multiplayer program model, uncertain Monte-Carlo program, the interval of decision-making and weight program of decision-making and weight program of the uncertain multiplayer attribute, also the program of uncertain structure neural network optimal model in the uncertain environment are given,. And provide the intelligent algorithm of the uncertain program is given aswell. Because the appearance and substance of the uncertain complicated problem are different., the way and method of effective analysis and evaluation are also different. So the scientific description and quantitative analysis are not only the further premise of the problem, but also the safeguard of the complicated system抯 optimization.
作者 高雷阜
出处 《辽宁工程技术大学学报(自然科学版)》 CAS 北大核心 2003年第3期413-415,共3页 Journal of Liaoning Technical University (Natural Science)
关键词 数学规划 不确定规划 数学模型 决策区间 MONTE-CARLO法 神经网络 混合智能算法 mathematics program neural network decision-making interval Monte-Carlo algorithm
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参考文献5

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共引文献37

同被引文献5

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