2017 **Abstract:** Abstract:In nature, the mechanical properties of geological bodies are very complex, and its various mechanical parameters are vague, incomplete, imprecise, and indeterminate. In these cases, we cannot always compute or provide exact/crisp values for the joint roughness coefficient (JRC), which is a quite crucial parameter for determining the shear strength in rock mechanics, but we need to approximate them. Hence, we need to investigate the anisotropy and scale effect of indeterminate JRC values by neutrosoph…

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“…In other words, the larger the length L is, the smaller the average value (range) of JRC-NNs is. Thus, the scale effect in different lengths is consistent with that of the literature [10].…”

confidence: 81%

“…In other words, the larger the length L is, the smaller the average value (range) of JRC-NNs is. Thus, the scale effect in different lengths is consistent with that of the literature [10].…”

confidence: 81%

“…What's more, when the sample length is large enough, the anisotropy of the JRC values may decrease to some stable tendency. This situation is consistent with the tendency in [10].…”

confidence: 80%

“…However, the neutrosophic functions introduced in [12,13] are interval functions (thick function), but they cannot express and handle actual problems containing NN information. Furthermore, NNs were also applied to expressions and analyses of rock joint roughness coefficient in rock mechanics [14][15][16]. Further, Ye [17] put forth an NN linear programming method to obtain optimal solutions of NN linear programming problems under NN environments.…”

confidence: 99%