摘要
结合鱼病诊断学和鱼病专家的知识与经验 ,建立了包括诊断主体、诊断客体、诊断要素、诊断结果、诊断思维、诊断方法等 7个因素的鱼病诊断的领域知识模型 ;从领域知识模型出发 ,将鱼病知识划分为事实性知识、经验性知识与决策性知识 3类 ;基于以上分类 ,初步建立了包括 2个前提、 7个定义和 3个推论的鱼病诊断知识概念化体系。该体系的建立为选择鱼病诊断知识表示模式提供了有效的理论依据。图 1,参 7。
To provide an academic evidence for selecting fish diagnosis knowledge representation model in programming a fish disease diagnosis expert system,integrated fish disease diagnostics with experiences from many experts had accumulated through many years in fish disease diagnosis field,a knowledge domain model is build,which consists of 7 factors (i.e.diagnosis subject,objective,factor,result,thought and method,and fish disease diagnosis knowledge is classified into 3 categories (i.e.clinic,experience and decision-making knowledge).Based on the domain model and categories,the conceptualization architecture for fish disease diagnosis is brought forward,which includes 2 conditions,7 definitions and 3 deductions and describes the logic and causality relations,which are inherent in fish disease diagnosis knowledge.
出处
《农业系统科学与综合研究》
CSCD
北大核心
2003年第3期180-182,185,共4页
System Sciemces and Comprehensive Studies In Agriculture
基金
国家"8 63"项目 ( 2 0 0 2AA2 43 0 3 1)
农业部高技术项目 ( 2 0 0 0农 1)
关键词
鱼病诊断
专家系统
知识工程
知识表示
知识概念化
fish disease diagnosis
knowledge representation
knowledge conceptualization
expert system
knowledge engineering
