海洋科学2023，Vol.47Issue(10)：65-75,11.DOI:10.11759/hykx20220728003
模糊层次分析法在浅剖数据质量评价中的应用
Application of fuzzy analytic hierarchy process in the quality evaluation of sub-bottom profile data
摘要
Abstract
To address the problems of different quality evaluation indicators and insufficient quantification of sub-bottom profile data,based on the principle of analytic hierarchy process(AHP)and combined with the Delphi and fuzzy evaluation methods,this paper established the fuzzy AHP technology process for sub-bottom profile quality evaluation.The quality evaluation model determined 3 first-level indicators and 14 second-level indicators,gave the quantitative weight of each indicator in the quality evaluation,and set out 4 evaluation levels.In this paper,the evaluation model is used to evaluate two sets of sub-bottom profile data in deep sea and shallow sea contexts.According to the evaluation results and the maximum membership principle,the overall quality of the shallow sea profile data is adjudged as medium,while the overall quality of the deep-sea profile data is adjudged as good.The results showed that the model could convert the subjective experience of experts into quantitative evaluation indi-cators effectively in a knowledge-driven form.Furthermore,the evaluation results obtained were objective and quantifiable,reducing human subjective factors and one-sidedness in the process of data quality evaluation,and could be used for data quality evaluation,which could provide more accurate application-level recommendations for further application.关键词
浅剖数据/模糊层次分析法/质量评价/评价指标Key words
sub-bottom profile data/fuzzy AHP/quality evaluation/evaluation indicator分类
海洋学引用本文复制引用
孔敏,王风帆,耿姗姗,余佳,舒雨婷..模糊层次分析法在浅剖数据质量评价中的应用[J].海洋科学,2023,47(10):65-75,11.基金项目
国家重点研发计划(2022YFC2803600) （2022YFC2803600）
国家海洋信息中心青年基金项目(202101002)National Key R&D Program of China,No.2022YFC2803600 （202101002）
NMDIS Youth Fund Project,No.202101002 （）
