不确定海洋数据的质量抽样检验模型研究

doi:10.11896/j.issn.1002-137X.2015.02.039

计算机科学 ›› 2015, Vol. 42 ›› Issue (2): 182-184.doi: 10.11896/j.issn.1002-137X.2015.02.039

不确定海洋数据的质量抽样检验模型研究

王振华,周雪楠,黄冬梅

上海海洋大学信息学院上海201306;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上海200135,上海海洋大学信息学院上海201306;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上海200135,上海海洋大学信息学院上海201306

出版日期:2018-11-14 发布日期:2018-11-14
基金资助:
本文受国家自然科学基金项目(61272098),上海市自然科学基金(13ZR1455800),国家973项目(2012CB316200)资助

Sampling Model for Quality Inspection of Uncertain Ocean Data

WANG Zhen-hua, ZHOU Xue-nan and HUANG Dong-mei

Online:2018-11-14 Published:2018-11-14

摘要/Abstract

摘要： 海洋数据具有海量、多源、多类和多维等特性,其数据质量具有不确定性现象,传统的抽样检验理论不能满足海洋数据质量检验的需求。在抽样检验模型的制定中引入了梯形模糊数的思想,将抽样检验模型的制定抽象为模糊线性规划问题,建立了模糊的质量抽样检验模型,解决了具有不确定质量参数海洋数据的质量检验问题,从而完善了抽样检验模型的系统体系。

关键词: 梯形模糊数,质量控制,抽样检验模型

Abstract: Ocean data are characterized by magnanimity,multisource,various types and multi-dimensional,so mostly the quality characteristic of ocean data is uncertain.Thus,the conventional theory of sampling inspection cannot satisfy the requirement of quality inspection for ocean data.In this paper,a fuzzy sampling model was proposed based on trapezoid fuzzy number.The fuzzy sampling model has advantage of the performing quality inspection for ocean data,which have uncertain quality characters,and improves the conventional theory of sampling inspection.

Key words: Trapezoid fuzzy number,Quality control,Sampling model

王振华,周雪楠,黄冬梅. 不确定海洋数据的质量抽样检验模型研究[J]. 计算机科学, 2015, 42(2): 182-184. https://doi.org/10.11896/j.issn.1002-137X.2015.02.039

WANG Zhen-hua, ZHOU Xue-nan and HUANG Dong-mei. Sampling Model for Quality Inspection of Uncertain Ocean Data[J]. Computer Science, 2015, 42(2): 182-184. https://doi.org/10.11896/j.issn.1002-137X.2015.02.039

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不确定海洋数据的质量抽样检验模型研究

Sampling Model for Quality Inspection of Uncertain Ocean Data

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