A Dice Similarity Measure for TBM Penetrability Classification in Hard Rock Condition with the Intuitionistic Fuzzy Information of Rock Mass Properties

An Empirical UCS Model for Anisotropic Blocky Rock Masses

(2019) Fan Huang et al.   ROCK MECHANICS AND ROCK ENGINEERING

Non-linear Shear Strength Model for Coal Rocks

(2019) Jiayi Shen et al.   ROCK MECHANICS AND ROCK ENGINEERING

New distance and similarity measures on hesitant fuzzy sets and their applications in multiple criteria decision making

(2015) Deqing Li et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Utilizing partial least square and support vector machine for TBM penetration rate prediction in hard rock conditions

(2015) Li Gao et al.   Journal of Central South University

Predicting penetration rate of hard rock tunnel boring machine using fuzzy logic

(2013) Ebrahim Ghasemi et al.   Bulletin of Engineering Geology and the Environment

Multicriteria decision-making method using the Dice similarity measure based on the reduct intuitionistic fuzzy sets of interval-valued intuitionistic fuzzy sets

(2011) Jun Ye   APPLIED MATHEMATICAL MODELLING

Study of the influence of geotechnical parameters on the TBM performance in Tehran–Shomal highway project using ANN and SPSS

(2011) S. R. Torabi et al.   Arabian Journal of Geosciences

A new hard rock TBM performance prediction model for project planning

(2011) J. Hassanpour et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Performance prediction of hard rock TBM using Rock Mass Rating (RMR) system

(2010) Jafar Khademi Hamidi et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Application of two non-linear prediction tools to the estimation of tunnel boring machine performance

(2009) S. Yagiz et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

A new classification system for evaluating rock penetrability

(2009) S.H. Hoseinie et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Multifactorial fuzzy approach to the penetrability classification of TBM in hard rock conditions

(2009) Reza Mikaeil et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Development of a rock mass characteristics model for TBM penetration rate prediction

(2008) Q.M. Gong et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Utilizing rock mass properties for predicting TBM performance in hard rock condition

(2007) Saffet Yagiz   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY