A fuzzy logic approach to river flow modelling

被引：0

作者：

Han, D ^{[1
]}

Cluckie, ID ^{[1
]}

Karbassioun, D ^{[1
]}

Lowry, J ^{[1
]}

机构：

[1] Univ Bristol, Dept Civil Engn, Water & Environm Management Res Ctr, Bristol BS8 1TH, Avon, England

来源：

STOCHASTIC HYDRAULICS 2000 | 2000年

关键词：

fuzzy set; river flow; artificial intelligence; fuzzy modelling;

D O I：

暂无

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

This paper describes the attempt of using Fuzzy Logic approach for river flow modelling from rainfall data. Firstly, both rainfall and stream flow are converted into representing fuzzy sets. A special format for the fuzzy sets has been established to cope with the characteristics of rainfall and flow records. The process adopted for the modelling is one that generates sets of qualified linguistic conditionals using an ID3 type algorithm proposed by the Artificial Intelligence group at the University of Bristol. A powerful fuzzy programming language FRIL was adopted in this research.

引用

页码：853 / 860

页数：8

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