Land subsidence risk zoning for high speed railway based on hesitant fuzzy linguistic model
A new hesitant fuzzy 2-tuple-data envelopment analysis(DEA)model was established in order to assess the risk of land subsidence along high-speed railway.Assessment opinions were handled with the computation theory of hesitant fuzzy 2-tuple linguistic model.Experts'weights were adjusted based on the principle of maximum group consensus,and the factors'weights were determined by using the DEA model,which made up for the defects of the previous assessment methods,such as difficulty of passing consistency test,difficulty of assessment process,and low degree of consensus of the evaluators.The hesitant fuzzy 2-tuple-DEA analysis model was applied to a high-speed railway project under construction in Huaibei,Anhui Province.The risk assessment index system of hazard factors,vulnerability factors and sensitivity factors was established.The fuzzy assessment set of individual hesitation and matrix of group hesitation were established,and weight of each factor was obtained.The visual display of risk distribution in the disaster,vulnerability and sensitivity index assessment area was realized based on GIS system.Land subsidence risk distribution along the high-speed railway was obtained.Results show that DK66-DK67 is the highest risk section,and the subsidence monitoring in this section should be strengthened.
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