摘要
[目的/意义]在当今数字网络、知识经济和大数据背景下,"五计学"学科群表现出一些新的发展特征和发展趋势,"五计学"领域出现了新现象和新问题,需要采用新思维和新方法来研究和解决"五计学"研究成果,整合"五计学"研究方法,为"五计学"的融合发展指明方向。[方法/过程]本文运用内容分析法与归纳演绎法对相关研究进行分析。[结果/结论]尝试性地提出了6种"五计学"知识融合实现模式:基于语义规则的知识融合,基于贝叶斯网络的知识融合,基于D-S理论的知识融合,基于知识挖掘的知识融合,面向网格环境的知识融合以及面向近似知识的知识融合;提出了2种"五计学"知识融合过程控制手段分别是知识融合评价和知识融合系统。
[Purpose/Significance] Under the background of digital network,knowledge economy and big data,Five Metrics Science shows new characteristics and development trends. Five Metrics Science has new phenomena and new problems. We need to adopt new thinking and new methods to study and solve the research results,integrate research methods,for the integration of Five Metrics Science direction. [Method/Process] In this paper,content analysis and inductive deductive method were used to analyze relevant studies. [Result/Conclusion] Six "Five Metrics Science" knowledge fusion modes were proposed tentatively: knowledge fusion based on semantic rules,Knowledge fusion based on bayesian networks,Knowledge fusion based on D-S theory,Knowledge fusion based on knowledge mining,Knowledge fusion oriented to grid environment and Knowledge fusion oriented towards approximate knowledge. Two control methods of knowledge fusion process of "five plans" were proposed: knowledge fusion evaluation; Knowledge fusion system.
引文
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