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Development of river water quality management using fuzzy techniques: a review

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dc.citedby20
dc.contributor.authorChe Osmi S.F.en_US
dc.contributor.authorMalek M.A.en_US
dc.contributor.authorYusoff M.en_US
dc.contributor.authorAzman N.H.en_US
dc.contributor.authorFaizal W.M.en_US
dc.contributor.authorid54963643200en_US
dc.contributor.authorid55636320055en_US
dc.contributor.authorid23391662400en_US
dc.contributor.authorid54963126900en_US
dc.contributor.authorid57041161700en_US
dc.date.accessioned2023-05-29T06:12:23Z
dc.date.available2023-05-29T06:12:23Z
dc.date.issued2016
dc.descriptiondecision support system; expert system; fuzzy mathematics; river management; river water; uncertainty analysis; water qualityen_US
dc.description.abstractFuzzy 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.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1080/15715124.2015.1105232
dc.identifier.epage254
dc.identifier.issue2
dc.identifier.scopus2-s2.0-84959047944
dc.identifier.spage243
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84959047944&doi=10.1080%2f15715124.2015.1105232&partnerID=40&md5=2942d3757c04e7e8cc52692b0aedfb82
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/22807
dc.identifier.volume14
dc.publisherTaylor and Francis Ltd.en_US
dc.sourceScopus
dc.sourcetitleInternational Journal of River Basin Management
dc.titleDevelopment of river water quality management using fuzzy techniques: a reviewen_US
dc.typeReviewen_US
dspace.entity.typePublication
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