2008/04/03 by H. Owladeghaffari, Hamed Owladeghaffari, M. Ejtemaei +6
Computer Science · Engineering · #Artificial Intelligence (cs.AI) #F.4.1 #FOS: Computer and information sciences #Oil and Gas Production Techniques #Reservoir Engineering and Simulation Methods #Rough Sets and Fuzzy Logic #cs.AI
paper · pdf · doi:10.48550/arxiv.0804.0528
InternationalConference on Smart Materials and Adaptive Structures: Mathematical Modeling and Computation
arxiv created 2008/04/03 · openalex publication_date 2008/04/03 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.