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基于粗糙集理论的疾病综合诊断

发表时间:2008-03-15  浏览量:1917  下载量:636
全部作者: 杨广,夏波,王晓龙,张保华,周圣武
作者单位: 中国矿业大学理学院;中国矿业大学机电工程学院
摘 要: 疾病的综合诊断对于医生来说是非常重要的,而综合诊断实质上是权系数的确定问题。本文提出了一种基于粗糙集理论的权系数确定方法,将权系数确定问题转化为粗糙集中属性重要程度评价问题,建立了关于组合预测方法的关系数据模型并计算出组合预测模型的权系数。该方法克服了传统权系数确定方法的主观性,避免了线性或非线性极值问题的数值计算,使得组合预测方法更具客观性。本文案例证明了此方法的有效性。
关 键 词: 应用数学;疾病诊断;组合预测;粗糙集
Title: Combination diagnosis of the disease based on rough set theory
Author: YANG Guang, XIA Bo, WANG Xiaolong, ZHANG Baohua, ZHOU Shengwu
Organization: College of Science, China University of Mining and Technology;College of Mechanical engineering, China University of Mining and Technology
Abstract: Combination diagnosis of the disease is very important to the doctor, but the diagnosis is materially equal to the determination of weighting coefficient. A method of determining weighting coefficient based on rough set theory is showed in this paper. Determining weighting coefficient is translated into estimating significance of attributes among rough set. A relation data model about combination forecast is established and we compute the weighting coefficients. The proposed approach overcomes the subjectivity of traditional determination to weighting coefficient, avoids computing linear or nonlinear extremum problem and makes combination forecast more objective. The validity of the proposed approach is verified with a case.
Key words: applied mathematics; disease diagnosis; combination forecast; rough set
发表期数: 2008年7月第5期
引用格式: 杨广,夏波,王晓龙,等. 基于粗糙集理论的疾病综合诊断[J]. 中国科技论文在线精品论文,2008,1(5):515-520.
 
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