| 1 |
What is the purpose of the empirical case study on coal manufacturing in the paper?
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To criticize existing transportation routes |
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To criticize existing transportation routes |
the purpose of the empirical case study on coal manufacturing in the paper |
7 |
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| 2 |
Which factor does the model NOT consider in route selection for a multimodal transportation network?
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Time |
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Because this factor does not consider in route selection for a multimodal transportation network |
consider in route selection for a multimodal transportation network |
7 |
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| 3 |
What is the role of expert judgments in the decision support model?
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They define the ZOGP objective function |
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Because they define the ZOGP objective function |
the role of expert judgments in the decision support model |
7 |
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| 4 |
What logistics system aspect does the proposed methodology aim to improve?
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Inventory tracking |
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Because Inventory tracking does the proposed methodology aim to improve |
logistics system aspect |
7 |
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| 5 |
Essay | Describe the role of Analytic Hierarchy Process (AHP) and Zero-One Goal Programming (ZOGP) in the decision support model for determining an optimal multimodal transportation route. Explain how these methodologies contribute to the model's effectiveness and discuss any potential limitations.
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AHP |
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Analytic Hierarchy Process (AHP) and Zero-One Goal Programming (ZOGP) |
10 |
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| 6 |
What is the role of the FAHP method in the proposed risk analysis model?
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To generate overall risk scores |
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Because To generate overall risk scores is the role of the FAHP method in the proposed risk analysis model |
FAHP |
7 |
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| 7 |
Which industry is used as a case study in the proposed risk analysis model?
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Technology |
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Because technology is used as a case study in the proposed risk analysis model |
industry is used as a case study in the proposed risk analysis model |
7 |
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| 8 |
What does the DEA method do in the proposed FAHP-DEA methodology?
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Aggregates risk scores |
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Because Aggregates risk scores does the DEA method do in the proposed FAHP-DEA methodology |
DEA |
7 |
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| 9 |
Which method is used to aggregate risk scores into an overall risk score in the proposed model?
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Simple Additive Weighting (SAW) |
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Because Simple Additive Weighting (SAW) is used to aggregate risk scores into an overall risk score in the proposed model |
method is used to aggregate risk scores into an overall risk score in the proposed model |
7 |
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| 10 |
Essay | Using the coal industry case study, please explain how the proposed risk analysis model is practical and aids in prioritizing risks. Discuss how this model can be beneficial for industries in optimizing multimodal transportation routes under risk decision criteria.
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study |
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- |
the coal industry case study, please explain how the proposed risk analysis model is practical and aids in prioritizing risks. Discuss how this model can be beneficial for industries in optimizing multimodal transportation routes under risk decision criteria |
10 |
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+.25
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| 11 |
How were geotechnical parameters of soils at landslide-prone sites evaluated in the study?
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Satellite remote sensing datasets |
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Because Satellite remote sensing datasets were geotechnical parameters of soils at landslide-prone sites evaluated in the study |
geotechnical parameters of soils at landslide-prone sites evaluated in the study |
7 |
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| 12 |
What modeling techniques were used to assess the probability of landslide occurrence in the future?
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|
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Because Autoregressive Moving Average (ARIMA) model is modeling techniques were used to assess the probability of landslide occurrence in the future |
modeling techniques |
7 |
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| 13 |
What is the potential application of the study's findings in hazard management?
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Heavy trafficPromoting tourism in landslide-prone areas |
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Because heavy trafficPromoting tourism in landslide-prone areas is the potential application of the study's findings in hazard management |
the potential application of the study's |
7 |
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| 14 |
How does the study aim to contribute to hazard management in the Himalayas?
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By serving as a guiding framework for using artificial intelligence and machine learning |
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By serving as a guiding framework for using artificial intelligence and machine learning |
the study aim to contribute to hazard management in the Himalayas |
7 |
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| 15 |
Essay | Explain the methodology employed in the study to evaluate geotechnical parameters and assess the probability of future landslide events. Discuss the potential implications of using artificial intelligence and machine learning in hazard management in the Himalayas, with reference to the study's guiding framework.
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- |
|
- |
the methodology employed in the study to evaluate geotechnical parameters and assess the probability of future landslide events. Discuss the potential implications of using artificial intelligence and machine learning in hazard management in the Himalayas, with reference to the study's guiding framework |
10 |
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| 16 |
How was the landslide inventory database divided for training and testing in the research?
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70% training, 30% testing |
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Because 70% training, 30% testing was the landslide inventory database divided for training and testing in the research |
the landslide inventory database divided for training and testing in the research |
7 |
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| 17 |
Which machine learning model showed the highest prediction rate among LR, RF, and DRT?
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Logistic Regression (LR) |
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Because Logistic Regression (LR) showed the highest prediction rate |
LR, RF, and DRT |
7 |
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| 18 |
What do the ROC values for training and testing data signify in the context of landslide susceptibility mapping?
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The extent of the study area |
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Because the extent of the study area do the ROC values for training and testing data signify in the context of landslide susceptibility mapping |
ROC |
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| 19 |
Which model is considered more realistic according to susceptibility zones in the research?
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All models are equally realistic |
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Because all models are equally realistic is considered more realistic according to susceptibility zones in the research |
model is considered more realistic according to susceptibility zones in the research |
7 |
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| 20 |
Essay | Compare and contrast the performance of Logistic Regression (LR), Random Forest (RF), and Decision and Regression Tree (DRT) models in landslide susceptibility mapping. Discuss the strengths and limitations of each model based on the research findings.
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DRT |
|
- |
the performance of Logistic Regression (LR), Random Forest (RF), and Decision and Regression Tree (DRT) models in landslide susceptibility mapping. Discuss the strengths and limitations of each model based on the research findings. |
10 |
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+.25
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