期刊文献+

基于Dempster-Shafer理论的大豆病害信息诊断模型 被引量:4

Soybean Disease Information Diagnose Model Based on Dempster-Shafer Theory
下载PDF
导出
摘要 针对大豆生长病害智能诊断过程中计算机技术辅助决策的难点,构建了一个基于Dempster-Shafer理论的大豆病害信息诊断模型。对模型进行了理论及特性分析,建立了该种方法实现的理论框架,给出了具体的应用规则,并结合大豆病害的实例进行了具体应用。结果表明,该方法在大豆病害诊断过程中会大大提高决策的精度和可信度。 It is difficult for people to use computer assisted making policy specifically of crops plant diseases in intelligence diagnose process,this paper structured a Dempster-Shafer theory-based soybean disease Information Diagnose Model.analysed the theory and characteristic property,built the theoretical frame and has given concrete application out and regulation.and carried out concrete application combining with soybean disease example.Practice indicates accuracy and confidence can improve decision-making greatly.
作者 王立舒
出处 《农机化研究》 北大核心 2010年第8期50-52,78,共4页 Journal of Agricultural Mechanization Research
基金 东北农业大学博士启动基金项目(2008) 黑龙江省青年科学技术基金(QC07C41) 黑龙江省博士后科研启动金(LBH-Q08129)
关键词 病害信息 大豆 DEMPSTER-SHAFER 决策模型 disease information soybean Dempster-Shafer diagnose model
  • 相关文献

参考文献8

二级参考文献27

  • 1黄孝彬,刘吉臻,牛玉广.主元分析方法在火电厂锅炉过程故障检测中的应用[J].动力工程,2004,24(4):542-547. 被引量:28
  • 2管延勇,薛佩军,王洪凯.不完备信息系统的可信决策规则提取与E-相对约简[J].系统工程理论与实践,2005,25(12):76-82. 被引量:22
  • 3Lu Yong-cheng, ZHONG Yong-xin. The greyzone and control of paddy rice optima lheading period[A]. System Control Information Methodologies& Application[C]. Wuhan:Huazhong University of Science and Technology Press, 1999:1168-1171.
  • 4Lu Yong-cheng. Study on the computer emulation models system for the crop spatternized culturegeneral[J]. Advance sin Systems Science and Applications, 1998,(1):204-208.
  • 5Shafer G.A mathematical theory of evidence[M].Princeton,NJ,Princeton University Press,1976.
  • 6Dempster A P.Upper and lower probabilities induced by a multivalued mapping[J].The Annals of Statistics.1967(28):25 ~ 339.
  • 7Janez F.Fusion of information's sources defined on different non-exhaustive reference sets,PhD Thesis[D],University of Angers,1996.
  • 8Steyer J,Lardon L,Bernard Q.Sensors network diagnosis in anaerobic digestion processes using evidence theory[J].Water Science and Technology,2004,50(11):21 ~ 29.
  • 9Shyng J Y, Wang F K, Tzeng G H, et al. Rough Set Theory in Analyzing the Attributes of Combination Values for the Insurance Market [J]. Expert Systems with Applications (S0957-4174), 2007, 32(1): 56-64.
  • 10Mollestad T, Skowron A. A Rough Set Framework for Data Mining of Propositional Default rules [C]// Proceedings of the 9th International Symposium on Foundations of Intelligent Systems (ISMIS), 1996. Berlin: Springer-Verlag, 1996: 448-457.

共引文献52

同被引文献63

引证文献4

二级引证文献21

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部