An Approach for a Spatial Data Attribute Similarity Measure Based on Granular Computing Closeness
This paper proposes a spatial data attribute similarity measure method based on granular computing closeness. This method uses the distance and membership degree of different index levels of spatial entities to measure the similarity of attributes. It not only reflects the degree of similarity of sp...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-06-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/9/13/2628 |