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Modelling of similarity characteristics of polycyclic aromatic hydrocarbons (PAHs) in Sungai Perak, Malaysia via rough set theory and principal component analysis (PCA)

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dc.citedby2
dc.contributor.authorMustafa S.F.Z.en_US
dc.contributor.authorMat Deris M.en_US
dc.contributor.authorAbd Manan T.S.B.en_US
dc.contributor.authorBeddu S.en_US
dc.contributor.authorMohd Kamal N.L.en_US
dc.contributor.authorMohamad D.en_US
dc.contributor.authorYavari S.en_US
dc.contributor.authorQazi S.en_US
dc.contributor.authorHanafiah Z.en_US
dc.contributor.authorOmar Abu Nassar S.en_US
dc.contributor.authorYeoh K.L.en_US
dc.contributor.authorSheriff I.en_US
dc.contributor.authorWan Mohtar W.H.M.en_US
dc.contributor.authorIsa M.H.en_US
dc.contributor.authorYusoff M.S.en_US
dc.contributor.authorAbdul Aziz H.en_US
dc.contributor.authorid57190572064en_US
dc.contributor.authorid6507331989en_US
dc.contributor.authorid57219650719en_US
dc.contributor.authorid55812080500en_US
dc.contributor.authorid56239107300en_US
dc.contributor.authorid57200335404en_US
dc.contributor.authorid57521992400en_US
dc.contributor.authorid57216613755en_US
dc.contributor.authorid57211619771en_US
dc.contributor.authorid58512712600en_US
dc.contributor.authorid58486969300en_US
dc.contributor.authorid57215429487en_US
dc.contributor.authorid25637975300en_US
dc.contributor.authorid12808940900en_US
dc.contributor.authorid15125104400en_US
dc.contributor.authorid7005960760en_US
dc.date.accessioned2024-10-14T03:17:38Z
dc.date.available2024-10-14T03:17:38Z
dc.date.issued2023
dc.description.abstractThis paper presents application of rough set theory and PCA for modelling of similarity characteristics of PAHs from Perak River: Tanjung Belanja Bridge (TBB, l1), Water Treatment Plant Parit (WTPP, l2), Parit Town Discharge (PTD, l3), Water Treatment Plant Senin (WTPS, l4), and Water Treatment Plant Kepayang (WTPK, l5). The clustering involved PAHs as attributes and sampling stations as objects. The l1 and l3 were clustered in Simdegx,y?0.8. The Simdegx,y?0.7 was observed in all attributes (except l5) forming two sets of clusters. PCA showed that low molecular weight (LMW) PAHs were prominent with variances of 68.47% (naphthalene, Nap) and 27.63% (carbazole). � 2023 Elsevier B.V.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo140721
dc.identifier.doi10.1016/j.cplett.2023.140721
dc.identifier.scopus2-s2.0-85166185833
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85166185833&doi=10.1016%2fj.cplett.2023.140721&partnerID=40&md5=ed43f2b694312a0b88f3cd3ce15d19e4
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/34006
dc.identifier.volume828
dc.publisherElsevier B.V.en_US
dc.sourceScopus
dc.sourcetitleChemical Physics Letters
dc.subjectEnvironmental data
dc.subjectPolycyclic aromatic hydrocarbons
dc.subjectPrincipal component analysis
dc.subjectRough set theory
dc.subjectSungai Perak
dc.subjectMineral oils
dc.subjectNaphthalene
dc.subjectPrincipal component analysis
dc.subjectRough set theory
dc.subjectWater treatment plants
dc.subjectClusterings
dc.subjectEnvironmental data
dc.subjectLow molecular weight
dc.subjectMalaysia
dc.subjectPrincipal-component analysis
dc.subjectSampling stations
dc.subjectSungai perak
dc.subjectPolycyclic aromatic hydrocarbons
dc.titleModelling of similarity characteristics of polycyclic aromatic hydrocarbons (PAHs) in Sungai Perak, Malaysia via rough set theory and principal component analysis (PCA)en_US
dc.typeArticleen_US
dspace.entity.typePublication
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