交叉口(航空)
关系(数据库)
雅卡索引
区间(图论)
模糊逻辑
模糊集
类型(生物学)
边界(拓扑)
相似性(几何)
拓扑(电路)
数学
基质(化学分析)
计算机科学
数据挖掘
理论计算机科学
人工智能
模式识别(心理学)
地理
图像(数学)
组合数学
地图学
复合材料
材料科学
数学分析
生物
生态学
作者
Jifa Guo,Xiaodong Shao,Xunqiang Mo
摘要
Abstract The topological relations between fuzzy objects are crucial in geographical spatial analysis. A qualitative topological relationship analysis method for interval type‐2 fuzzy spatial objects (IT2 FSOs) is proposed in this article. Similarities between the interval type‐2 fuzzy topological relation matrices and the corresponding crisp topological relation matrices are calculated using Jaccard's similarity measure and sorted to identify the two major relations. Next, the proximity degrees and quantifiers that correspond to these two major relations can be determined. Thus, two methods can be used to describe the relation between two IT2 FSOs; the method proposed in this article conforms to human cognitive habits and meets the requirements of a variety of applications in geographical information systems (GIS). Users can select different boundary definitions, intersection matrix types, and calculation functions for each cell in the intersection matrix, as well as different description methods according to the requirements of different GIS applications.
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