Expressions of Rock Joint Roughness Coefficient Using Neutrosophic Interval Statistical Numbers

被引:139
|
作者
Chen, Jiqian [1 ]
Ye, Jun [1 ,2 ]
Du, Shigui [1 ]
Yong, Rui [1 ]
机构
[1] Shaoxing Univ, Key Lab Rock Mech & Geohazards, 508 Huancheng West Rd, Shaoxing 312000, Peoples R China
[2] Shaoxing Univ, Dept Elect & Informat Engn, 508 Huancheng West Rd, Shaoxing 312000, Peoples R China
来源
SYMMETRY-BASEL | 2017年 / 9卷 / 07期
基金
中国国家自然科学基金;
关键词
neutrosophic interval probability; neutrosophic interval statistical number; confidence degree; joint roughness coefficient; neutrosophic number;
D O I
10.3390/sym9070123
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
In nature, the mechanical properties of geological bodies are very complex, and their various mechanical parameters are vague, incomplete, imprecise, and indeterminate. However, we cannot express them by the crisp values in classical probability and statistics. In geotechnical engineering, we need to try our best to approximate exact values in indeterminate environments because determining the joint roughness coefficient (JRC) effectively is a key parameter in the shear strength between rock joint surfaces. In this original study, we first propose neutrosophic interval probability (NIP) and define the confidence degree based on the cosine measure between NIP and the ideal NIP. Then, we propose a new neutrosophic interval statistical number (NISN) by combining the neutrosophic number with the confidence degree to express indeterminate statistical information. Finally, we apply NISNs to express JRC under indeterminate (imprecise, incomplete, and uncertain, etc.) environments. By an actual case, the results demonstrate that NISNs are suitable and effective for JRC expressions and have the objective advantage.
引用
收藏
页数:7
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