Novel approach to evaluate rock mass fragmentation in block caving using unascertained measurement model and information entropy with flexible credible identification criterion

Zhou, Jian; Chen, Chao; Khandelwal, Manoj; Tao, Ming; Li, Chuanqi

doi:10.1007/s00366-020-01230-5

Cited by 23 publications

(8 citation statements)

References 69 publications

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“…Based on this study, Liu [69] proposed a mathematical theory of unascertained measurement and first applied it to the evaluation problem. After years of unremitting research by many experts and scholars, its theoretical system has gradually matured and has been applied in many fields [57,70,71].…”

Section: Multi-indicator Comprehensive Measurementmentioning

confidence: 99%

“…Unascertained measurement is a method that can effectively deal with fuzzy and uncertain information [55]. However, the traditional unascertained measurement approach uses a confidence criterion for calculations [56][57][58][59][60][61], which introduces some subjectivity. To ensure the objectivity of discrimination results, the idea of distance discrimination can be introduced to optimize an attribute recognition model.…”

Section: Introductionmentioning

confidence: 99%

“…uses a confidence criterion for calculations [56][57][58][59][60][61], which introduces some subjectiv To ensure the objectivity of discrimination results, the idea of distance discrimination be introduced to optimize an attribute recognition model. Additionally, the game the method resolves the contradiction between subjective and objective empowerment me ods, ensuring the accuracy of quantitative analyses and the scientificity of qualitative an yses.…”

Section: Introductionmentioning

confidence: 99%

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A Novel Method for Predicting Rockburst Intensity Based on an Improved Unascertained Measurement and an Improved Game Theory

et al. 2023

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A rockburst is a dynamic disaster that may result in considerable damage to mines and pose a threat to personnel safety. Accurately predicting rockburst intensity is critical for ensuring mine safety and reducing economic losses. First, based on the primary parameters that impact rockburst occurrence, the uniaxial compressive strength (σc), shear–compression ratio (σθ/σc), compression–tension ratio (σc/σt), elastic deformation coefficient (Wet), and integrity coefficient of the rock (KV) were selected as the evaluation indicators. Second, an improved game theory weighting method was introduced to address the problem that the combination coefficients calculated using the traditional game theory weighting method may result in negative values. The combination of indicator weights obtained using the analytic hierarchy process, the entropy method, and the coefficient of variation method were also optimized using improved game theory. Third, to address the problem of subjectivity in the traditional unascertained measurement using the confidence identification criterion, the distance discrimination idea of the Minkowski distance was used to optimize the identification criteria of the attributes in an unascertained measurement and was applied to rockburst prediction, and the obtained results were compared with the original confidence identification criterion and the original distance discrimination. The results show that the improved game theory weighting method used in this model makes the weight distribution more reasonable and reliable, which can provide a feasible reference for the weight determination method of rockburst prediction. When the Minkowski distance formula was introduced into the unascertained measurement for distance discrimination, the same rockburst predictions were obtained when the distance parameter (p) was equal to 1, 2, 3, and 4. The improved model was used to predict and analyze 40 groups of rockburst data with an accuracy of 92.5% and could determine the rockburst intensity class intuitively, providing a new way to analyze the rockburst intensity class rationally and quickly.

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Section: Multi-indicator Comprehensive Measurementmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Novel Method for Predicting Rockburst Intensity Based on an Improved Unascertained Measurement and an Improved Game Theory

et al. 2023

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“…The single index measurement judgment matrix is calculated by the membership function. In this paper, we will use four types membership functions (Zhou et al, 2020b;Zhou et al, 2021a): linear, parabolic, exponential and sine functions, as shown in Eqs 5-8 respectively.…”

Section: Single-index Measurement Matrixmentioning

confidence: 99%

“…Various technologies related to tunnel engineering have been greatly developed, such as ventilation technology, support technology, excavation technology, operation management, rock characteristics (Wang et al, 2021b;Du et al, 2022;Wang et al, 2022;Yu et al, 2022), prediction and prevention of geological disasters (Feng et al, 2015;Wang et al, 2021a;Feng et al, 2022;Zhou et al, 2021a;Zhou et al, 2021b), among which geological disasters are the main risk factors in engineering. In recent years, with the excavation of various tunnels in underground at great depth, the hazards regarding large deformation of surrounding rock frequently occurred.…”

Section: Introductionmentioning

confidence: 99%

Developing an evaluation model based on unascertained measurement for evaluation of tunnel squeezing

et al. 2022

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Tunnel squeezing brought great difficulties to the construction and severely threatened the safety of on-site operators. The researches regarding large deformation evaluation have been widely developed, but actual conditions of tunnels are considerably complex, producing a large variety of uncertainty information existing in the evaluation process. Therefore, we constructed an unascertained measurement model incorporating four membership functions for evaluation of tunnel squeezing based on the collected datasets. Simultaneously, information entropy was introduced to objectively calculate the index importance for each index. For the first group data (GPI), the accuracy associated with four membership functions are 100%, 83.33%, 50%, and 83.33%, respectively, while the accuracy of GPII are 70%、77.5%、67.5%, and 70%, respectively. Linear function and parabolic function show better performance on uncertainty information interpretation according to the classification results. The results revealed that the uncertainty model constructed in this study can enrich the available uncertainty evaluation system.

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An Improved Connection Cloud Model of an Updated Database: A Multicriteria Uncertainty Model for Coal Burst Liability Evaluation

et al. 2022

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Novel approach to evaluate rock mass fragmentation in block caving using unascertained measurement model and information entropy with flexible credible identification criterion

Cited by 23 publications

References 69 publications

A Novel Method for Predicting Rockburst Intensity Based on an Improved Unascertained Measurement and an Improved Game Theory

A Novel Method for Predicting Rockburst Intensity Based on an Improved Unascertained Measurement and an Improved Game Theory

Developing an evaluation model based on unascertained measurement for evaluation of tunnel squeezing

An Improved Connection Cloud Model of an Updated Database: A Multicriteria Uncertainty Model for Coal Burst Liability Evaluation

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