A Fuzzy Soft Model for Haze Pollution Management in Northern Thailand
In this article, we propose fuzzy soft models for decision making in the haze pollution management. The main aims of this research are (i) to provide a haze warning system based on real-time atmospheric data and (ii) to identify the most hazardous location of the study area. PM10 is used as the seve...
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| Format: | Article |
| Language: | English |
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Hindawi Limited
2020-01-01
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| Series: | Advances in Fuzzy Systems |
| Online Access: | http://dx.doi.org/10.1155/2020/6968705 |