International Conference on Transportation Engineering 2009 2009
DOI: 10.1061/41039(345)39
|View full text |Cite
|
Sign up to set email alerts
|

Early-Warning Model of Airport Security Based on Extension Theory

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2012
2012
2022
2022

Publication Types

Select...
4
2
1

Relationship

0
7

Authors

Journals

citations
Cited by 9 publications
(2 citation statements)
references
References 0 publications
0
2
0
Order By: Relevance
“…For the convenience of computing, index x 2 need to be quantified. Thus, take “No worm holes along the length, no hollowing sounds while knocking” as 1; take “No obvious worm holes along the length, no hollowing sounds while knocking” as 2; take “Obvious worm holes along the length, no hollowing sounds while knocking” as 3; take “Obvious worm holes along the length, hollowing sounds are heard while knocking” as 4 (Li et al, 2009). Based on site-investigation results, R 0 is established to evaluate matter-element matrix of L 1 …”
Section: A Case Studymentioning
confidence: 99%
“…For the convenience of computing, index x 2 need to be quantified. Thus, take “No worm holes along the length, no hollowing sounds while knocking” as 1; take “No obvious worm holes along the length, no hollowing sounds while knocking” as 2; take “Obvious worm holes along the length, no hollowing sounds while knocking” as 3; take “Obvious worm holes along the length, hollowing sounds are heard while knocking” as 4 (Li et al, 2009). Based on site-investigation results, R 0 is established to evaluate matter-element matrix of L 1 …”
Section: A Case Studymentioning
confidence: 99%
“…An actual example was shown for the application of the method, and the result was exact and reasonable. Li et al (2009) applied a dynamic model based on a variable matter element with parameters to construct the early warning model of airport safety. A case study showed that Li's model was suitable for evaluation of airport safety, and for assisting early warning decision quantitatively.…”
Section: Model Establishmentmentioning
confidence: 99%