Evaluation levels of water quality in maeklong basin using fuzzy logic
© 2014 IEEE. This the paper presents a model to create rule in order to divide criterion of water quality from 5 indices follows: BOD, DO, FCB, TCB and NH3 which are divided to criterion of 4 levels i.e. good, medium, bad and very bad. The data sets collected from the Maeklong basin from 9 provinces...
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th-mahidol.359212018-11-23T17:06:55Z Evaluation levels of water quality in maeklong basin using fuzzy logic Kanitta Sampuangthong Supapom Kiattisin Adisom Leelasantitham Mahidol University Engineering © 2014 IEEE. This the paper presents a model to create rule in order to divide criterion of water quality from 5 indices follows: BOD, DO, FCB, TCB and NH3 which are divided to criterion of 4 levels i.e. good, medium, bad and very bad. The data sets collected from the Maeklong basin from 9 provinces in Thailand are used more than 200 sets from 41 sampling stations. In the present study, a methodology based on fuzzy logic to assess water quality is proposed. The result from fuzzy logic is that an accuracy is approximately at 89.42%. Therefore, fuzzy logic is a suitable to use a development of effective water management plans. 2018-11-23T10:06:55Z 2018-11-23T10:06:55Z 2015-01-01 Conference Paper BMEiCON 2014 - 7th Biomedical Engineering International Conference. (2015) 10.1109/BMEiCON.2014.7017437 2-s2.0-84923039190 https://repository.li.mahidol.ac.th/handle/123456789/35921 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84923039190&origin=inward |
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© 2014 IEEE. This the paper presents a model to create rule in order to divide criterion of water quality from 5 indices follows: BOD, DO, FCB, TCB and NH3 which are divided to criterion of 4 levels i.e. good, medium, bad and very bad. The data sets collected from the Maeklong basin from 9 provinces in Thailand are used more than 200 sets from 41 sampling stations. In the present study, a methodology based on fuzzy logic to assess water quality is proposed. The result from fuzzy logic is that an accuracy is approximately at 89.42%. Therefore, fuzzy logic is a suitable to use a development of effective water management plans. |
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Mahidol University |
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Mahidol University Kanitta Sampuangthong Supapom Kiattisin Adisom Leelasantitham |
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Conference or Workshop Item |
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Kanitta Sampuangthong Supapom Kiattisin Adisom Leelasantitham |
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Kanitta Sampuangthong |
title |
Evaluation levels of water quality in maeklong basin using fuzzy logic |
title_short |
Evaluation levels of water quality in maeklong basin using fuzzy logic |
title_full |
Evaluation levels of water quality in maeklong basin using fuzzy logic |
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Evaluation levels of water quality in maeklong basin using fuzzy logic |
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Evaluation levels of water quality in maeklong basin using fuzzy logic |
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evaluation levels of water quality in maeklong basin using fuzzy logic |
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2018 |
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https://repository.li.mahidol.ac.th/handle/123456789/35921 |
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