Application of Rough Set Theory to Analysis of Hydrocyclone Operation

Details Application of Rough Set Theory to Analysis of Hydrocyclone Operation Application of Rough Set Theory to Analysis of Hydrocyclone Operation

2008-04-03

arxiv.org/abs/0804.0528v1

Computer Science

Artificial Intelligence

InternationalConference on Smart Materials and Adaptive Structures: Mathematical Modeling and Computation

Scientific paper

This 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.

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