Safety Analysis of Level Crossing Surveillance Systems Using Fuzzy Petri Nets

Tao, Chi-Chung; Lin, Tsung-Chin

doi:10.1109/iciii.2008.175

Cited by 1 publication

(1 citation statement)

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“…Certainty factor (CF) can be used to evaluate the reliability of the rules induced from the decision support system [7]. Literature demonstrated that rules evaluation with CF could be helpful for the safety assessment of industrial equipment [8], level crossing surveillance [9] and thermal power plant [3]. Previous studies have also proven that geographic information system (GIS)-based risk assessment with CF model can be beneficial for landslide susceptibility mapping [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Integrating remote sensing, spatial analysis and certainty factor model for waste dumping risk assessment

Shiu

Lin

Chen

et al. 2011

2011 IEEE International Geoscience and Remote Sensing Symposium

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Waste dumping is one of the main pollution causing land deterioration and resource depletion. To help manage the environmental protection resource, this study proposed the risk assessment integrating remote sensing and geographic information system (GIS) to predict and map potential waste dumping area. Factors relative to waste dumping were generated with spatial analysis, which quantifies the spatial correlation between waste dumping areas and other land use. The suspected waste dumping mapping with FORMOSAT-2 imagery and hybrid classification was used as the other factor. All factors were then combined with certainty factor (CF) model to generate waste dumping risk map. Validating the result with the 45 waste dumping cases, CF model predicts 75.56% of the waste dumping cases in the very high potential area. The result demonstrated that integrating remote sensing, spatial analysis and CF model for waste dumping risk assessment could be reliable. Future applications include helping inspectors to concentrate the patrol areas, which could save manpower significantly.

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Section: Introductionmentioning

confidence: 99%