Development of river water quality management using fuzzy techniques: a review
decision support system; expert system; fuzzy mathematics; river management; river water; uncertainty analysis; water quality
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Taylor and Francis Ltd.
2023
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my.uniten.dspace-228072023-05-29T14:12:23Z Development of river water quality management using fuzzy techniques: a review Che Osmi S.F. Malek M.A. Yusoff M. Azman N.H. Faizal W.M. 54963643200 55636320055 23391662400 54963126900 57041161700 decision support system; expert system; fuzzy mathematics; river management; river water; uncertainty analysis; water quality Fuzzy theory is a powerful tool with the capability of solving many complex problems which include river water quality assessment when dealing with uncertainties data and vagueness that occur in a river system. In this paper, various fuzzy techniques are applied in the development of river water quality management; particularly, water quality index assessment is outlined. Uncertainties involved in river water quality management, especially from random nature of hydrologic variables and missing data, can be overcome using fuzzy techniques. Fuzzy interference system (FIS) plays an important role in fuzzy excursion. FIS can be improved using other methods such as similarity measures and grey clustering method to obtain better and accurate water quality assessment results. FIS can also be integrated with an expert system and a decision support system to assist the decision-maker in improving river water quality through effective strategies. Thus, the capability of FIS to be incorporated with other techniques such as grey clustering, artificial neural network, and expert system to provide a comprehensive solution in order to control river pollution is demonstrated. � 2015 International Association for Hydro-Environment Engineering and Research. Final 2023-05-29T06:12:23Z 2023-05-29T06:12:23Z 2016 Review 10.1080/15715124.2015.1105232 2-s2.0-84959047944 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84959047944&doi=10.1080%2f15715124.2015.1105232&partnerID=40&md5=2942d3757c04e7e8cc52692b0aedfb82 https://irepository.uniten.edu.my/handle/123456789/22807 14 2 243 254 Taylor and Francis Ltd. Scopus |
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| description |
decision support system; expert system; fuzzy mathematics; river management; river water; uncertainty analysis; water quality |
| author2 |
54963643200 |
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54963643200 Che Osmi S.F. Malek M.A. Yusoff M. Azman N.H. Faizal W.M. |
| format |
Review |
| author |
Che Osmi S.F. Malek M.A. Yusoff M. Azman N.H. Faizal W.M. |
| spellingShingle |
Che Osmi S.F. Malek M.A. Yusoff M. Azman N.H. Faizal W.M. Development of river water quality management using fuzzy techniques: a review |
| author_sort |
Che Osmi S.F. |
| title |
Development of river water quality management using fuzzy techniques: a review |
| title_short |
Development of river water quality management using fuzzy techniques: a review |
| title_full |
Development of river water quality management using fuzzy techniques: a review |
| title_fullStr |
Development of river water quality management using fuzzy techniques: a review |
| title_full_unstemmed |
Development of river water quality management using fuzzy techniques: a review |
| title_sort |
development of river water quality management using fuzzy techniques: a review |
| publisher |
Taylor and Francis Ltd. |
| publishDate |
2023 |
| _version_ |
1806427544044437504 |