Abstract

Wang, B.; Nie, X.; Li, Z., and Fan, T., 2019. Assessment method of the economic vulnerability of the coastal zone based on the analytic hierarchy process. In: Guido-Aldana, P.A. and Mulahasan, S. (eds.), Advances in Water Resources and Exploration. Journal of Coastal Research, Special Issue No. 93, pp. 798–803. Coconut Creek (Florida), ISSN 0749-0208.It is an important strategic measure to carry out the scientific concept of development and build a harmonious society to make great efforts to build a coastal economic uplift zone and cultivate a new economic growth pole. A coastal economic vulnerability assessment method based on analytic hierarchy process (AHP) is proposed. And combined with statistical data for empirical analysis. The statistical information model of coastal economic vulnerability assessment is constructed. According to the mining results of coastal economic vulnerability assessment information, the frequent itemsets association rules of coastal economic vulnerability assessment data are reconstructed, the correlation dimension characteristics of coastal economic vulnerability information are extracted, and the regular characteristics of coastal economic vulnerability assessment cross-correlation information fusion are analyzed. Taking this as the constraint condition, the correlation information mining evaluation of coastal economic vulnerability assessment is carried out, and the statistical analysis and robustness test of coastal economic vulnerability are carried out by using statistical feature analysis method. The simulation structure shows that the model has good accuracy and high confidence in coastal economic vulnerability assessment, and improves the quality of coastal economic vulnerability assessment.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.