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改进的分层定性空间表示和推理方法 被引量：1

Improved hierarchical qualitative spatial representation and reasoning approach
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摘要 针对李三江和Bernhard提出的一种分层定性空间表示与推理方法,在固定分辨率的情况下,就该方法关于两个粗区域间关系的表示和推理进行了扩展,特别分析了粗区域下近似为零情况的推理问题,完善了确定两个粗区域间RCC5关系的定理。本文的改进方法还可用于其他RCC关系理论。 A hierarchical qualitative spatial representation and reasoning approach was proposed by Sanjiang Li and Bernhard Nobel. In this article, under fixed resolution, we expand and complement this spatial representation and reasoning approach to determine the mereological （part/whole） relations between two rough regions. In particular, we discuss reasoning issue when the lower approximation is zero. We complete the theorem which determines the definite RCC5 relation between the two rough regions. The improved approach can also applied to other RCC relation theories.
作者 刘大有 董飒 欧阳继红 王生生
机构地区 吉林大学计算机科学与技术学院 吉林大学符号计算与知识工程教育部重点实验室
出处 《吉林大学学报（工学版）》 EI CAS CSCD 北大核心 2011年第4期1041-1046,共6页 Journal of Jilin University:Engineering and Technology Edition
基金 国家自然科学基金项目(60973088 60773099)
关键词 人工智能 定性空间推理 分层空间模型 广义区域关系演算 分辨率 粗区域 artificial intelligence qualitative spatial reasoning hierarchical spatial model generalized region connection calculus resolution rough regions
分类号 TP301 [自动化与计算机技术—计算机系统结构]
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参考文献8

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同被引文献16

  • 1许小满,孙雨耕,杨山,黄汝激.超图理论及其应用[J].电子学报,1994,22(8):65-72. 被引量：32
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  • 3Mossakowski T,Moratz R.Qualitative reasoning aboutrelative direction of oriented points[J].ArtificialIntelligence,2012,180-181:34-45.
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  • 9Li Sanjiang,Nebel B.Qualitative spatial representation andreasoning:A hierarchical approach[J].The ComputerJournal,2007,50(4):391-402.
  • 10Nagurney A.Supernetworks:An introduction to the conceptand its applications with a specific focus on knowledge super-networks[D].Massachusetts:University of Massachusetts Amherst,2005.

引证文献1

吉林大学学报（工学版）
2011年 第4期

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