Application of Rough Set Theory to Analysis of Hydrocyclone Operation
Artificial Intelligence
2008-04-04 v1
Abstract
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.
Cite
@article{arxiv.0804.0528,
title = {Application of Rough Set Theory to Analysis of Hydrocyclone Operation},
author = {H. Owladeghaffari and M. Ejtemaei and M. Irannajad},
journal= {arXiv preprint arXiv:0804.0528},
year = {2008}
}
Comments
InternationalConference on Smart Materials and Adaptive Structures: Mathematical Modeling and Computation