摘要
利用基于等价关系的模糊聚类分析方法,在鱼类形态种群鉴别和强风暴潮灾害评估方面进行建模分析。选取长江、珠江草鱼及其杂交组合的后代共2 340个数据,以及1981-2000年以来对上海造成灾害的13场强风暴潮过程及灾害资料数据,利用模糊聚类模型分别进行试验和数据实证分析,结果表明该方法是实用及有效的。
Fuzzy cluster analysis based on fuzzy equivalence relation was used for modeling the identification offish stocks and the assessment of marine severe storm tide disaster. Empirical analyses were conducted by the fuzzy clustering model using 2 340 data sets of grass carp stocks from the Yangtze River, the Pearl River, and their hybrid offspring, and data sets of 13 severe storm tide disasters that damaged Shanghai from 1981 to 2000, respectively; the results indicated that the method is practical and effective.
出处
《海洋通报》
CAS
CSCD
北大核心
2013年第5期499-504,共6页
Marine Science Bulletin
基金
海洋赤潮灾害立体监测技术与应用国家海洋局重点实验室2012年度开放研究基金(MATHAB20120303)
关键词
模糊等价关系
聚类分析
鱼类种群鉴别
强风暴潮
fuzzy equivalence relation
cluster analysis
fish stocks identification
severe storm tide
