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Annual Meeting Preliminary Program - Full Brochure (PDF) - SME

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TECHNICAL PROGRAM<br />

3:05 PM<br />

Application of Fuzzy Set Theory to RMR Classification System for<br />

Weak and Very Weak Rock Masses<br />

P. Roghanchi, R. Kallu and R. Thareja; Mining Engineering,<br />

University of Nevada, Reno, Reno, NV<br />

The Rock Mass Rating (RMR) system is an internationally recognized classification<br />

system that can be used for preliminary ground control design. Assigning a<br />

single value rather than a range to each parameter of RMR is a source of uncertainty.<br />

However, assigning a single value can be useful for further studies related<br />

to RMR ratings. Fuzzy systems have been successfully used in geotechnical and<br />

mining engineering problems to cope with uncertain data as well as vagueness. In<br />

such scenarios, linguistic rules and rating-based classification of rock masses have<br />

always been questionable. The objective of this study is to apply fuzzy set theory<br />

to the RMR classification system. Fuzzy system proposed in this study is specified<br />

for weak and very weak rock masses (RMR

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