Uncertainty Representation of Ocean Fronts Based on Fuzzy-Rough Set Theory
Uncertainty Representation of Ocean Fronts Based on Fuzzy-Rough Set Theory作者机构：The Marine GIS＇s Center of State Key Laboratory of Resources and Environment Information System Chinese Academy of Sciences Beijing 1 O0101 P. R. China Graduate School of the Chinese Academy of Sciences Beijing 100039 P. R. China
出 版 物：《Journal of Ocean University of China》 (中国海洋大学学报（英文版）)
年 卷 期：2008年第7卷第2期
页 面：131-136页
基 金：The research was partially funded by the Project 40571129 supported by the National Natural Science Foundation of China Innovative Program(No.kzcx2-yw-304-1)supported by the Chinese Academy of Sciences
主 题：fuzzy-rough set upper approximate sets lower approximate sets ocean fronts uncertainties
摘 要：Analysis of ocean fronts＇ uncertainties indicates that they result from indiscemibility of their spatial position and fuzziness of their intensity. In view of this, a flow hierarchy for uncertainty representation of ocean fronts is proposed on the basis of fuzzy-rough set theory. Firstly, raster scanning and blurring are carried out on an ocean front, and the upper and lower approximate sets, the indiscernible relation in fuzzy-rough theories and related operators in fuzzy set theories are adopted to represent its uncertainties, then they are classified into three sets： with members one hundred percent belonging to the ocean front, belonging to the ocean front＇s edge and definitely not belonging to the ocean front. Finally, the approximate precision and roughness degree are utilized to evaluate the ocean front＇s degree of uncertainties and the precision of the representation. It has been proven that the method is not only capable of representing ocean fronts＇ uncertainties, but also provides a new theory and method for uncertainty representation of other oceanic phenomena.
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