A Novel Automated Decision-Making Process for Analysis of Ions and Organic Materials in Drinking Water
This paper applies a novel automated decision-making process with TOPSIS to analyze ions and organic materials in drinking water. The hypothesis was that the modified TOPSIS algorithm with the Łukasiewicz fuzzy disjunction would be appropriate to optimize the drinking water samples. The maximum outp...
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| Format: | Article |
| Language: | English |
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Sumy State University
2023-06-01
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| Series: | Журнал інженерних наук |
| Subjects: | |
| Online Access: | http://jes.sumdu.edu.ua/wp-content/uploads/2023/04/jes_10_1_2023_H1-H7.pdf |
| _version_ | 1827919167998656512 |
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| author | Javanbakht T. |
| author_facet | Javanbakht T. |
| author_sort | Javanbakht T. |
| collection | DOAJ |
| description | This paper applies a novel automated decision-making process with TOPSIS to analyze ions and organic materials in drinking water. The hypothesis was that the modified TOPSIS algorithm with the Łukasiewicz fuzzy disjunction would be appropriate to optimize the drinking water samples. The maximum output values were set to one to apply the fuzzy disjunction. The concentrations of ions and organic materials in the drinking water samples were considered from the values for naturally occurring chemicals that would be of health significance. Materials with positive effects on the body were considered profit criteria, whereas other ones with negative impacts on human health were considered cost criteria. The analysis of samples with unmodified TOPSIS showed that profit criteria having high concentrations and cost criteria having low concentrations had the dominant effects on the candidates’ ranking. The modified TOPSIS showed that the candidates’ ranking in the second analysis series was the same as in the first. However, the value of 1.0 for the fourth candidate’s concentration of nitrite, which resulted from the fuzzy disjunction in the algorithm of the modified TOPSIS, was attributed to the confusion of the drinking water and undrinkable water categories. The optimization results for drinking water samples could be applied in science and engineering based on the concentrations of their ions and organic materials with the automated decision-making process for their distinction from undrinkable water. |
| first_indexed | 2024-03-13T03:54:00Z |
| format | Article |
| id | doaj.art-975a662da0fd4153be7e7ea1797a8fc9 |
| institution | Directory Open Access Journal |
| issn | 2312-2498 2414-9381 |
| language | English |
| last_indexed | 2024-03-13T03:54:00Z |
| publishDate | 2023-06-01 |
| publisher | Sumy State University |
| record_format | Article |
| series | Журнал інженерних наук |
| spelling | doaj.art-975a662da0fd4153be7e7ea1797a8fc92023-06-22T09:07:24ZengSumy State UniversityЖурнал інженерних наук2312-24982414-93812023-06-01101H1H710.21272/jes.2023.10(1).h1A Novel Automated Decision-Making Process for Analysis of Ions and Organic Materials in Drinking WaterJavanbakht T.0Department of Computer Science, University of Quebec in Montreal, 201 President Kennedy St., Montreal, H2X 3Y7 Quebec, CanadaThis paper applies a novel automated decision-making process with TOPSIS to analyze ions and organic materials in drinking water. The hypothesis was that the modified TOPSIS algorithm with the Łukasiewicz fuzzy disjunction would be appropriate to optimize the drinking water samples. The maximum output values were set to one to apply the fuzzy disjunction. The concentrations of ions and organic materials in the drinking water samples were considered from the values for naturally occurring chemicals that would be of health significance. Materials with positive effects on the body were considered profit criteria, whereas other ones with negative impacts on human health were considered cost criteria. The analysis of samples with unmodified TOPSIS showed that profit criteria having high concentrations and cost criteria having low concentrations had the dominant effects on the candidates’ ranking. The modified TOPSIS showed that the candidates’ ranking in the second analysis series was the same as in the first. However, the value of 1.0 for the fourth candidate’s concentration of nitrite, which resulted from the fuzzy disjunction in the algorithm of the modified TOPSIS, was attributed to the confusion of the drinking water and undrinkable water categories. The optimization results for drinking water samples could be applied in science and engineering based on the concentrations of their ions and organic materials with the automated decision-making process for their distinction from undrinkable water.http://jes.sumdu.edu.ua/wp-content/uploads/2023/04/jes_10_1_2023_H1-H7.pdfdrinking waterautomated decision-making processhealth publicenvironment |
| spellingShingle | Javanbakht T. A Novel Automated Decision-Making Process for Analysis of Ions and Organic Materials in Drinking Water Журнал інженерних наук drinking water automated decision-making process health public environment |
| title | A Novel Automated Decision-Making Process for Analysis of Ions and Organic Materials in Drinking Water |
| title_full | A Novel Automated Decision-Making Process for Analysis of Ions and Organic Materials in Drinking Water |
| title_fullStr | A Novel Automated Decision-Making Process for Analysis of Ions and Organic Materials in Drinking Water |
| title_full_unstemmed | A Novel Automated Decision-Making Process for Analysis of Ions and Organic Materials in Drinking Water |
| title_short | A Novel Automated Decision-Making Process for Analysis of Ions and Organic Materials in Drinking Water |
| title_sort | novel automated decision making process for analysis of ions and organic materials in drinking water |
| topic | drinking water automated decision-making process health public environment |
| url | http://jes.sumdu.edu.ua/wp-content/uploads/2023/04/jes_10_1_2023_H1-H7.pdf |
| work_keys_str_mv | AT javanbakhtt anovelautomateddecisionmakingprocessforanalysisofionsandorganicmaterialsindrinkingwater AT javanbakhtt novelautomateddecisionmakingprocessforanalysisofionsandorganicmaterialsindrinkingwater |