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ข้อความ |
What is the purpose of the empirical case study on coal manufacturing in the paper? |
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2 |
ข้อความ |
Which factor does the model NOT consider in route selection for a multimodal transportation network? |
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3 |
ข้อความ |
What is the role of expert judgments in the decision support model? |
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4 |
ข้อความ |
What logistics system aspect does the proposed methodology aim to improve? |
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5 |
ข้อความ |
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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อัตนัย |
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6 |
ข้อความ |
What is the role of the FAHP method in the proposed risk analysis model? |
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7 |
ข้อความ |
Which industry is used as a case study in the proposed risk analysis model? |
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8 |
ข้อความ |
What does the DEA method do in the proposed FAHP-DEA methodology? |
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9 |
ข้อความ |
Which method is used to aggregate risk scores into an overall risk score in the proposed model? |
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10 |
ข้อความ |
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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11 |
ข้อความ |
How were geotechnical parameters of soils at landslide-prone sites evaluated in the study? |
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12 |
ข้อความ |
What modeling techniques were used to assess the probability of landslide occurrence in the future? |
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13 |
ข้อความ |
What is the potential application of the study's findings in hazard management? |
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14 |
ข้อความ |
How does the study aim to contribute to hazard management in the Himalayas? |
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15 |
ข้อความ |
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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16 |
ข้อความ |
How was the landslide inventory database divided for training and testing in the research? |
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17 |
ข้อความ |
Which machine learning model showed the highest prediction rate among LR, RF, and DRT? |
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18 |
ข้อความ |
What do the ROC values for training and testing data signify in the context of landslide susceptibility mapping? |
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19 |
ข้อความ |
Which model is considered more realistic according to susceptibility zones in the research? |
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20 |
ข้อความ |
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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