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智能决策理论在矿井通风系统中的应用研究
引用本文:王清亮. 智能决策理论在矿井通风系统中的应用研究[J]. 煤矿安全, 2007, 38(4): 5-8
作者姓名:王清亮
作者单位:西安科技大学,电气与控制工程学院,陕西,西安,710054
摘    要:提出了一种基于粗糙集和数理统计理论的矿井通风系统状态评估模型。利用粗糙集方法对矿井通风系统的指标体系进行约减,约减时采用了一种简单实用的启发式算法。并采用置信区间法对辨识模型输出的结果进行评估和预测,将评估结果反馈到模型的修正中,构建了一个基于智能决策技术的通风系统闭环评估模型。依此模型进行了实例验证,结果表明该模型的评估结果具有更高的可信度和精度。

关 键 词:状态评估  粗糙集  置信区间  启发式算法
文章编号:1003-496X(2007)04-0005-04
修稿时间:2006-09-01

Study on Application of Intelligent Decision Theory in Mine Ventilation System
WANG Qing-liang. Study on Application of Intelligent Decision Theory in Mine Ventilation System[J]. Safety in Coal Mines, 2007, 38(4): 5-8
Authors:WANG Qing-liang
Abstract:Based on rough set and mathematic statistics theories,the state evaluation model for mine ventilation system is proposed.The ventilation index system is deduced by using heuristic algorithm on the basis of rough set theory.This paper uses the confidence interval analysis to evaluate the output of identification model.Then the evaluated results are feedback to modify the model.A closed-loop state evaluation model for ventilation is constructed based on intelligent decision theory.The practical case reveals that the model can increase the confidence and accuracy of evaluation.
Keywords:state evaluation  rough set  confidence interval  heuristic algorithm
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