Fuzzy system method for the design of a jointed rock slope

Li, W.X; Mei, S.H.

doi:10.1016/j.ijrmms.2004.03.101

Cited by 12 publications

(3 citation statements)

References 2 publications

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“…Generally, a greater weight value indicates that an attribute or a subattribute is more intimately correlated with the stability of a slope. The determined weight vector for the three attributes (0.6, 0.2, 0.2) shows that the rock mass characteristics play the most important role in the stability of slopes, which agrees with the common understanding that the physical, mechanical, and geological properties of rock masses govern the stability of rock slopes [4,8,14,17,25,46,47]. Meanwhile, among the three subattributes of the rock mass characteristics, rock structure has greater importance over other two indexes, which is in line with the actual situation that most studied instable slopes are formed by bedding structures with multiple joint sets [59].…”

Section: Discussionsupporting

confidence: 84%

“…Different mathematics methods have been employed for rock slope engineering, such as the reliability theory, the fuzzy mathematics, the grey theory, and the artificial neural network (ANN). Early studies developed assessment models directly based on a single probabilistic method [16][17][18][19][20]. It has been realized later that the combination of different probabilistic methods can yield better assessments, such as the hybrid model of the projection pursuit (PP), particle swarm optimization (PSO), and the logistic curve function (LCF) [21].…”

Section: Introductionmentioning

confidence: 99%

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Application of a Probabilistic Method Based on Neutrosophic Number in Rock Slope Stability Assessment

Zhou

et al. 2019

Applied Sciences

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The stability of natural rock slopes is influenced by a wide spectrum of factors, such as mechanical properties of bedrocks and spatial distribution of discontinuities. Their specific values are typically incomplete, due mainly to the lack of effective and comprehensive methods to accurately characterize these factors, especially those inside of the slopes. The neutrosophic number is a useful tool to solve problems in indeterminate environment. This study introduces the neutrosophic theory into slope stability assessment. A vector similarity measure developed under neutrosophic environment was employed to establish a stability assessment method considering multilevel attributes of slopes. Using this method, the level of stability for studied slopes, i.e., stable, mostly stable, less stable, and instable, was determined by computing the relation indices. The method was applied to a group of rock slopes located in Zhejiang province, China, and the calculated results were compared with the reality of in situ survey. The field application showed that the developed method has a good efficiency and precision in assessing the stability of rock slopes. The obtained weight vector can reveal the key influential parameters that inherently control the stability of rock slopes.

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Section: Discussionsupporting

confidence: 84%

Section: Introductionmentioning

confidence: 99%

Application of a Probabilistic Method Based on Neutrosophic Number in Rock Slope Stability Assessment

Zhou

et al. 2019

Applied Sciences

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“…Fuzzy set theory has been found to be effective and suitable for modeling uncertainty in geotechnical parameters when data are insufficient to define a probability distribution fully [93]. Consequently, fuzzy set theory has been used in several site-specific slope stability analyses at hillslope scale [89,92,[94][95][96][97][98][99].…”

Section: Introductionmentioning

confidence: 99%

Physically Based Susceptibility Assessment of Rainfall-Induced Shallow Landslides Using a Fuzzy Point Estimate Method

2017

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Abstract:The physically based model has been widely used in rainfall-induced shallow landslide susceptibility analysis because of its capacity to reproduce the physical processes governing landslide occurrence and a higher predictive capability. However, one of the difficulties in applying the physically based model is that uncertainties arising from spatial variability, measurement errors, and incomplete information apply to the input parameters and analysis procedure. Uncertainties have been recognized as an important cause of mismatch between predicted and observed distributions of landslide occurrence. Therefore, probabilistic analysis has been used to quantify the uncertainties. However, some uncertainties, because of incomplete information, cannot be managed satisfactorily using a probabilistic approach. Fuzzy set theory is applicable in this case. In this study, in order to handle uncertainty propagation through a physical model, fuzzy set theory, coupled with the vertex method and the point estimate method, was adopted for regional landslide susceptibility assessment. The proposed approach was used to evaluate susceptibility to rainfall-induced shallow landslides for a regional study area, and the analysis results were compared with landslide inventory to evaluate the performance of the proposed approach. The AUC values arising from the landslide susceptibility analyses using the proposed approach and probabilistic analysis were 0.734 and 0.736, respectively. However, when the COV values of the input parameters were reduced, the AUC values of the proposed approach and the probabilistic analysis were reduced to 0.722 and 0.688, respectively. It means that the performance of the fuzzy approach is similar to that of probabilistic analysis but is more robust against variation of input parameters. Thus, at catchment scale, the fuzzy approach can respond appropriately to the uncertainties inherent in physically based landslide susceptibility analysis, and is especially advantageous when the amount of quality data is very limited.

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A probabilistic method for evaluating wedge stability based on blind data theory

Qin

Chen

et al. 2017

Bull Eng Geol Environ

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Fuzzy system method for the design of a jointed rock slope

Cited by 12 publications

References 2 publications

Application of a Probabilistic Method Based on Neutrosophic Number in Rock Slope Stability Assessment

Application of a Probabilistic Method Based on Neutrosophic Number in Rock Slope Stability Assessment

Physically Based Susceptibility Assessment of Rainfall-Induced Shallow Landslides Using a Fuzzy Point Estimate Method

A probabilistic method for evaluating wedge stability based on blind data theory

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