DocumentCode
725233
Title
Prediction of CMRS rock mass rating using fuzzy logic
Author
Devanand ; Kumar, Naveen
Author_Institution
Ind. Eng. & Oper. Res., Indian Inst. of Technol., Bombay, Mumbai, India
fYear
2015
fDate
19-20 March 2015
Firstpage
13
Lastpage
17
Abstract
CMRS (Central Mining Research Station) Geomechanical rating of rock mass is a classification system based on the various parameters which was defined by CMRS. The rating system may possess some fuzziness in its practical applications. For example, groundwater seepage and weatherability (measured by I Cycle slake durability) are related by experts in linguistic terms with approximation. Descriptive terms vary from one expert to another, while in the RMR system values which are related to these terms are probably the same. On the other hand, sharp transitions between two classes create uncertainties. So it is proposed to determine new weight interval for these parameters. Fuzzy model based on the Mamdani algorithm was introduced to evaluate proposed weights, so that the linguistic approximation based problem could be solved. Further, experiments are done with some of coal mines areas where this fuzzy based rock mass rating gives more satisfactory result than the existing CMRS rating techniques.
Keywords
fuzzy logic; geophysical techniques; rocks; CMRS rating techniques; Central Mining Research Station; Mamdani algorithm; RMR system values; classification system; fuzzy logic; fuzzy model; linguistic approximation based problem; rating system; rock mass CMRS geomechanical rating; Coal; Coal mining; Fuzzy logic; Indexes; Rocks; Silicon; Stress; CMRS geomechanical classification; FIS (Fuzzy interface system); Fuzzy logic; Interpolation; RMR Parameters;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Engineering and Applications (ICACEA), 2015 International Conference on Advances in
Conference_Location
Ghaziabad
Type
conf
DOI
10.1109/ICACEA.2015.7164685
Filename
7164685
Link To Document