Assessment of Water Quality using Fuzzy-AHP and TOPSIS
The quality of water available to people has deteriorated because of the vast increase in global industries. The overall quality of water has reduced due to the high use of fertilizers in farms and chemicals in sectors such as mining and construction. The quality of water has a direct impact on the...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2021-01-01
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| Series: | ITM Web of Conferences |
| Subjects: | |
| Online Access: | https://www.itm-conferences.org/articles/itmconf/pdf/2021/05/itmconf_icacc2021_02002.pdf |
| _version_ | 1818888867637362688 |
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| author | Sonavane Asmita Narkhede Devyani Pawar Shruti Maktum Tabassum |
| author_facet | Sonavane Asmita Narkhede Devyani Pawar Shruti Maktum Tabassum |
| author_sort | Sonavane Asmita |
| collection | DOAJ |
| description | The quality of water available to people has deteriorated because of the vast increase in global industries. The overall quality of water has reduced due to the high use of fertilizers in farms and chemicals in sectors such as mining and construction. The quality of water has a direct impact on the health of humans and hence it is necessary to evaluate the quality of drinking water. The quality of water is dependent on various substances like pH, ammonia, iron, arsenic etc. present in water. If these parameters are available in an appropriate amount in water then only the water is considered as of good quality. The problem of assessing water quality is usually considered as multi-criteria decision problem. In this paper an approach to evaluate quality of water using Fuzzy Analytical Hierarchical Process (Fuzzy-AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is proposed. The parameters which are considered for evaluation include Arsenic, Ammonia , Iron , Nitrate , Dissolved Oxygen and Ph. The relative importance of these parameters is utilized while applying the Fuzzy-AHP process and weights for each parameter are computed. The various datasets containing values for considered parameters are collected and the weights are used to assign quality levels to these water samples. The paper also gives the performance analysis of the proposed method in terms of accuracy. The accuracy is measured in terms of how many water samples are assigned correct quality level and the results show that the proposed method has better accuracy as compared to traditional AHP and Fuzzy-AHP method. |
| first_indexed | 2024-12-19T16:59:57Z |
| format | Article |
| id | doaj.art-0e525c5fffed4729937414bf1e0cd31f |
| institution | Directory Open Access Journal |
| issn | 2271-2097 |
| language | English |
| last_indexed | 2024-12-19T16:59:57Z |
| publishDate | 2021-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | ITM Web of Conferences |
| spelling | doaj.art-0e525c5fffed4729937414bf1e0cd31f2022-12-21T20:13:19ZengEDP SciencesITM Web of Conferences2271-20972021-01-01400200210.1051/itmconf/20214002002itmconf_icacc2021_02002Assessment of Water Quality using Fuzzy-AHP and TOPSISSonavane AsmitaNarkhede DevyaniPawar ShrutiMaktum TabassumThe quality of water available to people has deteriorated because of the vast increase in global industries. The overall quality of water has reduced due to the high use of fertilizers in farms and chemicals in sectors such as mining and construction. The quality of water has a direct impact on the health of humans and hence it is necessary to evaluate the quality of drinking water. The quality of water is dependent on various substances like pH, ammonia, iron, arsenic etc. present in water. If these parameters are available in an appropriate amount in water then only the water is considered as of good quality. The problem of assessing water quality is usually considered as multi-criteria decision problem. In this paper an approach to evaluate quality of water using Fuzzy Analytical Hierarchical Process (Fuzzy-AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is proposed. The parameters which are considered for evaluation include Arsenic, Ammonia , Iron , Nitrate , Dissolved Oxygen and Ph. The relative importance of these parameters is utilized while applying the Fuzzy-AHP process and weights for each parameter are computed. The various datasets containing values for considered parameters are collected and the weights are used to assign quality levels to these water samples. The paper also gives the performance analysis of the proposed method in terms of accuracy. The accuracy is measured in terms of how many water samples are assigned correct quality level and the results show that the proposed method has better accuracy as compared to traditional AHP and Fuzzy-AHP method.https://www.itm-conferences.org/articles/itmconf/pdf/2021/05/itmconf_icacc2021_02002.pdfwater qualityahpfuzzy-ahpstandard error calculationgwqimcdmtopsisbwm topsis |
| spellingShingle | Sonavane Asmita Narkhede Devyani Pawar Shruti Maktum Tabassum Assessment of Water Quality using Fuzzy-AHP and TOPSIS ITM Web of Conferences water quality ahp fuzzy-ahp standard error calculation gwqi mcdm topsis bwm topsis |
| title | Assessment of Water Quality using Fuzzy-AHP and TOPSIS |
| title_full | Assessment of Water Quality using Fuzzy-AHP and TOPSIS |
| title_fullStr | Assessment of Water Quality using Fuzzy-AHP and TOPSIS |
| title_full_unstemmed | Assessment of Water Quality using Fuzzy-AHP and TOPSIS |
| title_short | Assessment of Water Quality using Fuzzy-AHP and TOPSIS |
| title_sort | assessment of water quality using fuzzy ahp and topsis |
| topic | water quality ahp fuzzy-ahp standard error calculation gwqi mcdm topsis bwm topsis |
| url | https://www.itm-conferences.org/articles/itmconf/pdf/2021/05/itmconf_icacc2021_02002.pdf |
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