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基于改进主观Bayes方法的不确定推理模型设计
引用本文:窦智勇,王霓虹,邢芳卉.基于改进主观Bayes方法的不确定推理模型设计[J].黑龙江大学自然科学学报,2011,28(1):127-131.
作者姓名:窦智勇  王霓虹  邢芳卉
作者单位:1. 东北林业大学,信息与计算机工程学院,哈尔滨,150040
2. 哈尔滨工业大学,华德应用技术学院,计算机应用技术系,哈尔滨,150025
基金项目:国家863计划资助项目,哈尔滨市科技局攻关项目
摘    要:通过分析主观Bayes方法与专家系统中不确定推理的研究现状,提出了一种加入可信度的主观Bayes方法模型.该方法消除了可信度CF和规则成立的充分性量度LS之间可能存在的不一致性,减少了后验概率对先验概率的依赖,并在森林病虫害专家系统中进行应用实现.

关 键 词:主观Bayes  可信度CF  不确定推理  专家系统

Uncertainty reasoning model of expert system design bases on improved subjective Bayes method
DOU Zhi-yong,WANG Ni-hong,XING Fang-hui.Uncertainty reasoning model of expert system design bases on improved subjective Bayes method[J].Journal of Natural Science of Heilongjiang University,2011,28(1):127-131.
Authors:DOU Zhi-yong  WANG Ni-hong  XING Fang-hui
Affiliation:DOU Zhi-yong1,WANG Ni-hong1,XING Fang-hui2 (1.Information and Computer Engineering College,Northeast Forestry University,Harbin 150040,China,2.Huade School of Applied Technology Technology of Computer Application,Harbin Industry Technology,Harbin 150025,China)
Abstract:The subjective Bayes method and uncertainty reasoning of expert system are analysed.A subjective Bayes method model with certainty factor is introuduced.It eliminates the possible inconsistence between CF and sufficiency measure LS of rule,and decreases the dependence of posterior probability with prior probability.It is applied to achieve in forest pests and diseases expert system.
Keywords:subjective Bayes  certainty factor CF  uncertainty reasoning  expert system  
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