基于成分关联区域相似度的面实体模糊匹配算法

叶亚琴; 万波; 陈波

doi:10.3799/dqkx.2010.044

Volume 35 Issue 3

May 2010

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YE Ya-qin, WAN Bo, Chen Bo, 2010. The Fuzzy Match Algorithm between Area Object Considering Associated Area Similarities. Earth Science, 35(3): 385-390. doi: 10.3799/dqkx.2010.044

Citation:

YE Ya-qin, WAN Bo, Chen Bo, 2010. The Fuzzy Match Algorithm between Area Object Considering Associated Area Similarities. Earth Science, 35(3): 385-390. doi: 10.3799/dqkx.2010.044

YE Ya-qin, WAN Bo, Chen Bo, 2010. The Fuzzy Match Algorithm between Area Object Considering Associated Area Similarities. Earth Science, 35(3): 385-390. doi: 10.3799/dqkx.2010.044

Citation:

YE Ya-qin, WAN Bo, Chen Bo, 2010. The Fuzzy Match Algorithm between Area Object Considering Associated Area Similarities. Earth Science, 35(3): 385-390. doi: 10.3799/dqkx.2010.044

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The Fuzzy Match Algorithm between Area Object Considering Associated Area Similarities

doi: 10.3799/dqkx.2010.044

YE Ya-qin^{1, 2
,},
WAN Bo^{1, 2},
Chen Bo³

1.
Faculty of Information Engineering, China University of Geosciences, Wuhan 430074, China
2.
Engineering Research Center of GIS Software and Applications, Ministry of Education, Wuhan 430074, China
3.
Wuhan Zondycyber Co., Ltd., Wuhan 430074, China

Received Date: 2010-01-15
Publish Date: 2010-05-01

Abstract

Abstract

Spatial objects' matching is the first step and also the key step of incremental updating for spatial database. In this paper, a spatial objects' matching algorithm for finding the changed information is studied. On the basis of the research on the uncertainty problem existing in spatial data, this paper suggests fuzzy theory is introduced to spatial objects' matching algorithm. The paper focuses on how to solve spatial objects' matching problem by using fuzzy methods. And taking the region entities as examples for studying matching process, the author proposes the region objects' matching algorithm considering associated area similarities. This algorithm firstly uses associated area similarity's measuring genes to confirm the fuzzy topological relationship matrix, then quantifies the degree of membership matrix, and finally determines the relationship between fuzzy topological classifications. By using frame index, associated area similarity's measuring genes, the algorithm optimizes and simplifies computational complexity, and improves the algorithm efficiency as well.
- spatial objects' matching,
- fuzzy topologic relation,
- associated area

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References(18)

References

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The Fuzzy Match Algorithm between Area Object Considering Associated Area Similarities

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