An investigation of takagi-sugeno fuzzy modeling for spatial prediction with sparsely distributed geospatial data
Fuzzy set theory has shown potential for reducing uncertainty as a result of data sparsity and also provides advantages for quantifying gradational changes like those of pollutant concentrations through fuzzy clustering based approaches. The ability to lower the sampling frequency and perform labora...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |