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 :
بازگشت