Application of Rough Set Theory to Analysis of Hydrocyclone Operation

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dc.creatorOwladeghaffari, H.
dc.creatorEjtemaei, M.
dc.creatorIrannajad, M.
dc.date2008-04-03
dc.date.accessioned2026-07-07T09:30:06Z
dc.date.available2026-07-07T09:30:06Z
dc.descriptionThis paper describes application of rough set theory, on the analysis of hydrocyclone operation. In this manner, using Self Organizing Map (SOM) as preprocessing step, best crisp granules of data are obtained. Then, using a combining of SOM and rough set theory (RST)-called SORST-, the dominant rules on the information table, obtained from laboratory tests, are extracted. Based on these rules, an approximate estimation on decision attribute is fulfilled. Finally, a brief comparison of this method with the SOM-NFIS system (briefly SONFIS) is highlighted.
dc.descriptionInternationalConference on Smart Materials and Adaptive Structures: Mathematical Modeling and Computation
dc.identifierhttps://arxiv.org/abs/0804.0528
dc.identifierhttp://arxiv.org/abs/0804.0528
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/158023
dc.subjectArtificial Intelligence
dc.subjectF.4.1
dc.titleApplication of Rough Set Theory to Analysis of Hydrocyclone Operation
dc.typetext

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