Graphical estimation of permeability using RST&NFIS

Author

Owladeghaffari, H. ; Shahriar, K. ; Pedrycz, W.

Author_Institution

Dept. of Min. & Metall. Eng., Amirkabir Univ. of Technol., Tehran

fYear

2008

Firstpage

1

Lastpage

6

Abstract

This paper pursues some applications of rough set theory (RST) and neural-fuzzy model to analysis of "lugeon data". In the manner, using Self Organizing Map (SOM) as a pre-processing the data are scaled and then the dominant rules by RST, are elicited. Based on these rules variations of permeability in the different levels of Shivashan dam, Iran has been highlighted. Then, via using a combining of SOM and an adaptive neuro-fuzzy inference system (NFIS) another analysis on the data was carried out. Finally, a brief comparison between the obtained results of RST and SOM-NFIS (briefly SONFIS) has been rendered.

Keywords

dams; fuzzy neural nets; fuzzy reasoning; permeability; rough set theory; self-organising feature maps; Shivashan dam; adaptive neuro-fuzzy inference system; graphical estimation; permeability; rough set theory; self organizing map; Adaptive systems; Data analysis; Data engineering; Finite element methods; Instruments; Neurons; Organizing; Permeability; Set theory; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Information Processing Society, 2008. NAFIPS 2008. Annual Meeting of the North American

Conference_Location

New York City, NY

Print_ISBN

978-1-4244-2351-4

Electronic_ISBN

978-1-4244-2352-1

Type

conf

DOI

10.1109/NAFIPS.2008.4531217

Filename

4531217