面向智慧知识服务的多案例诱导适配机制

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中图分类号： G203 文献标志码： ADOI： 10. 13705 / j. issn. 1671-6841. 2024008

文章编号： 1671-6841（2025）04-0080-08

Abstract： The proposed mechanism aimed to enhance autonomy and accuracy in adapting case knowledge within intelligent knowledge services. It utilized a multi-case induced adaptation approach that hinged on the correlation between decision attributes. Initially， the mechanism assessed the relevance of decision attributes using probability theory. Then， it employed different adaptation methods based on the independence or relevance of these attributes. When decision attributes were correlated， the mechanism selected adaptation techniques such as power set-based adaptation， adapter chain-based adaptation， and adapter chain combination-based adaptation. These choices depended on variations in the number of decision attributes and the size of the value domain. Simulation experiments conducted on the Student Performance-MAT dataset demonstrated the effectiveness of the mechanism.

Key words： intelligent knowledge service; relevant decision attributes; multi-case derivational; adaptation mechanism

0 引言

人工智能的加持促使知识服务不断升级服务的广度和深度，知识服务进入智慧化服务阶段[ 1] 。（剩余13973字）