Development of river water quality management using fuzzy techniques: a review
| Autor: | W. M. Faizal, N. H. Azman, Marina Yusoff, Siti Fatimah Che Osmi, Marlinda Abdul Malek |
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| Rok vydání: | 2016 |
| Předmět: |
Decision support system
Quality management Computer science media_common.quotation_subject 0208 environmental biotechnology Environmental engineering Vagueness 02 engineering and technology 010501 environmental sciences computer.software_genre Missing data 01 natural sciences Fuzzy logic Expert system 020801 environmental engineering Quality (business) Data mining Water quality computer 0105 earth and related environmental sciences Water Science and Technology media_common |
| Zdroj: | International Journal of River Basin Management. 14:243-254 |
| ISSN: | 1814-2060 1571-5124 |
| DOI: | 10.1080/15715124.2015.1105232 |
| Popis: | 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 tec... |
| Databáze: | OpenAIRE |
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