吉林大学学报(工学版) ›› 2013, Vol. 43 ›› Issue (01): 111-116.

• 论文 • 上一篇    下一篇

不确定区域间定性方向关系模型

陈娟1,2, 刘大有1,2, 贾海洋1,2   

  1. 1. 吉林大学 计算机科学与技术学院, 长春 130012;
    2. 吉林大学 符号计算与知识工程教育部重点实验室, 长春 130012
  • 收稿日期:2012-05-06 出版日期:2013-01-01 发布日期:2013-01-01
  • 作者简介:陈娟(1980-),女,讲师,博士.研究方向:时空推理,地理信息系统和贝叶斯网.E-mail:chenjuan@jlu.edu.cn
  • 基金资助:

    国家自然科学基金项目(61103091,61170092,61133011);吉林大学基本科研业务费专项基金项目(200903188,93K172010Z05,93K172011K04).

Modelling qualitative direction relations between indeterminate regions

CHEN Juan1,2, LIU Da-you1,2, JIA Hai-yang1,2   

  1. 1. College of Computer Science and Technology, Jilin University, Changchun 130012, China;
    2. Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun 130012, China
  • Received:2012-05-06 Online:2013-01-01 Published:2013-01-01

摘要: 针对现有基于宽边界区域的定性方向关系模型存在关系数目巨大不易处理、空间方向划分不符合人类习惯等不足;采用锥形主方向关系作为基础,用由内、外分明区域间方向关系构成的四元组描述宽边界区域间的方向关系,并给出四元组内部4个基本关系间的相互约束;讨论了宽边界方向关系的逆运算和复合运算;在此基础上,给出如何将基于宽边界区域的方向关系约束网转换为基于分明区域约束网的规则。此模型不仅降低了方向关系的数目,而且更符合人类认知。

关键词: 人工智能, 定性空间推理, 方向关系, 不确定区域, 宽边界区域, 锥形主方向关系

Abstract: The broad boundary region is an important method for indeterminate region representations. Existing qualitative direction relation models often have a huge number of basic relations, which is quite difficult to deal with, and the partitions of the direction tiles do not meet well with human habits. To solve these problems, the cone-based cardinal direction relation is selected as the base model. The direction between two broad boundary regions is represented by a quad tuple, whose elements are the basic cone-based direction relations of different combinations of the internal and external crisp regions composing the broad boundary regions. The constraints inside the quad tuple are illustrated; the inverse and composition operations are discussed; then the rules of how to transform a constraint network of broad boundary regions into the network of crisp regions are given. The proposed model reduces the number of relations and is more in line with human cognition.

Key words: artificial intelligence, qualitative spatial reasoning, direction relations, indeterminate regions, broad boundary regions, cone-shaped cardinal direction relations

中图分类号: 

  • TP182
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