摘要
基于河流水环境系统的模糊性、不精确性,采用三角模糊数来描述和表征水质信息。在此基础上,根据已有模糊线性回归模型成果,构造了带有三角模糊参数的河流水质模糊线性回归预测模型。运用模糊数的λ-截集技术,可以将水质预测值由三角模糊数转化为与一定可信度水平λ相应的区间值,为河流水质预测提供了新思路、新方法。
Based on the fuzziness and impreciseness of river water environmental system, triangular fuzzy number is utilized to denote water quality information. On the basis, by way of the existing fuzzy linear regression model, a new linear regression model with triangular fuzzy parameters is established for river water quality forecast. According to the upward model, the trend of river water quality can be reflected by means of triangular fuzzy numbers. Using the λ-cut technique for fuzzy numbers, the forecast values of river water quality can be converted from triangular fuzzy numbers into interval values corresponding to the given confidence level λ. Study results show that the fuzzy linear regression model with triangular fuzzy parameters is suitable for river water quality forecast.
出处
《安徽建筑工业学院学报（自然科学版）》
2007年第2期77-80,84,共5页
Journal of Anhui Institute of Architecture(Natural Science)
基金
安徽省自然科学基金资助项目(050450303)
关键词
水质预测
模糊线性回归模型
三角模糊数
Λ-截集
Water quality forecast
Fuzzy linear regression model
Triangular fuzzy number
λ-cut technique
作者简介
高苏蒂（1980-），女，硕士研究生，主要研究方向为水环境保护与修复。
