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
收藏
页码：853 / 860
页数：8
相关论文
共 18 条
  • [1] A note on the conditional probability of fuzzy subsets of a continuous domain
    Baldwin, JF
    Lawry, J
    Martin, TP
    [J]. FUZZY SETS AND SYSTEMS, 1998, 96 (02) : 211 - 222
  • [2] BALDWIN JF, 1995, FRIL FUZZY EVIDENTIA
  • [3] The use of fuzzy rules for the description of elements of the hydrological cycle
    Bardossy, A
    [J]. ECOLOGICAL MODELLING, 1996, 85 (01) : 59 - 65
  • [4] 1-DIMENSIONAL, 2-DIMENSIONAL AND 3-DIMENSIONAL MODELING OF WATER-MOVEMENT IN THE UNSATURATED SOIL MATRIX USING A FUZZY APPROACH
    BARDOSSY, A
    BRONSTERT, A
    MERZ, B
    [J]. ADVANCES IN WATER RESOURCES, 1995, 18 (04) : 237 - &
  • [5] CAMPANA NA, 1995, WATER SCI TECHNOL, V32, P233, DOI 10.1016/0273-1223(95)00560-A
  • [6] Cheng CT, 1999, HYDROLOG SCI J, V44, P573, DOI 10.1080/02626669909492253
  • [7] GEORGAKAKOS KP, 1988, 325 IAHR
  • [8] HAJJAM S, 1997, THESIS U SALFORD UK
  • [9] HAN D, 2000, J URBAN TECHNOLO APR
  • [10] KARBASSIOUN D, 1999, ARTIFICIAL INTELLIGE
12