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不确定海洋数据的质量抽样检验模型研究
引用本文: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):182-184,190.
作者姓名:王振华  周雪楠  黄冬梅
作者单位:1. 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
2. 上海海洋大学信息学院 上海201306
基金项目: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
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
收稿时间:2014/4/17 0:00:00
修稿时间:2014/6/12 0:00:00

Sampling Model for Quality Inspection of Uncertain Ocean Data
WANG Zhen-hu,ZHOU Xue-nan and HUANG Dong-mei.Sampling Model for Quality Inspection of Uncertain Ocean Data[J].Computer Science,2015,42(2):182-184,190.
Authors:WANG Zhen-hu  ZHOU Xue-nan and HUANG Dong-mei
Affiliation:College of Information Technology,Shanghai Ocean University,Shanghai 201306,China;Key Laboratory of Integrated Marine Monitoring and Applied Technologies for Harmful Algal Blooms,S.O.A.,MATHAB,Shanghai 200135,China,College of Information Technology,Shanghai Ocean University,Shanghai 201306,China;Key Laboratory of Integrated Marine Monitoring and Applied Technologies for Harmful Algal Blooms,S.O.A.,MATHAB,Shanghai 200135,China and College of Information Technology,Shanghai Ocean University,Shanghai 201306,China
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.
Keywords:Trapezoid fuzzy number  Quality control  Sampling model
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