摘要
研究了基于用户功能需求的知识网自动生成方法.首先,定义了知识网对用户需求的满意度关系及其运算,建立了知识网多重集运算表达式优化的模型;然后,基于改进的混合遗传算法,对知识网多重集表达式进行优化,给出了知识网自动生成的步骤;最后,通过算例对知识网自动生成方法进行说明和验证,表明了该方法的有效性和可行性.
The automatic construction approach to the knowledge mesh （KM） based on the user＇s function requirement is studied. The satisfaction degre relationships and operations between the K-M and the users＇ requirement are defined, and the optimal model of KM multiple set operation expression is constructed. Then the KM multiple set operation expression is optimized based on the improved hybrid genetic algorithm, and the procedure of the KM＇s automatic construction is also presented. Finally, the KM＇s automatic construction is exemplified, which shows the effectiveness and the feasibility of the method.
出处
《控制与决策》
EI
CSCD
北大核心
2005年第9期996-1001,共6页
Control and Decision
基金
国家自然科学基金项目(60443001)
江苏省高校"青蓝工程"第二期省级中青年学术带头人培养计划
关键词
功能需求
用户满意度
知识网
自动生成
混合遗传算法
Function requirement
User satisfaction degree
Knowledge meshl Automatic construction
Hybrid genetic algorithm
