Inference of hydrological events using the fuzzy subsets theory.

被引:0
|
作者
Cortes, GS [1 ]
Sandoval, CAE [1 ]
机构
[1] Univ Nacl Autonoma Mexico, Inst Ingn, Mexico City 04510, DF, Mexico
来源
INGENIERIA HIDRAULICA EN MEXICO | 1999年 / 14卷 / 03期
关键词
fuzzy subsets; runoff prediction; concentration time; fuzzy inference; prediction systems; fuzzy interference models;
D O I
暂无
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The mathematical foundations of the fuzzy subset theory in terms of the membership function are discussed and explored. In the paper is shown that the fuzzy inference can be a very important tool in engineering applications. A method for forecasting concentration time of a hydrograph in basins based on a fuzzy inference is presented In the same way a fuzzy runoff prediction system is developed using few data. There is an important relationship between the quantity of the information used in the adjustment and the quality of the answer of the model. This point is very relevant in a fuzzy model because as new data is added to the model the inference is increasingly better The application discussed here shows that reliable fuzzy inference models can be constructed using few data as it is very common in hydrology.
引用
收藏
页码:5 / 17
页数:13
相关论文
共 50 条
  • [1] APPLICATIONS OF FUZZY SET THEORY.
    Maiers, J.
    Sherif, Y.S.
    IEEE Transactions on Systems, Man and Cybernetics, 1985, SMC-15 (01): : 175 - 189
  • [2] IMPROVEMENT OF SEISMIC PROSPECTING BY USING FUZZY SUBSETS THEORY
    BOIS, P
    REVUE DE L INSTITUT FRANCAIS DU PETROLE, 1989, 44 (02): : 161 - 180
  • [3] Fuzzy Set Theory. The Concept of Fuzzy Sets
    Medynskaya, M. K.
    2015 XVIII International Conference on Soft Computing and Measurements (SCM), 2015, : 30 - 31
  • [4] Activation of trapezoidal fuzzy subsets with different inference methods
    Sakly, A
    Benrejeb, M
    FUZZY SETS AND SYSTEMS - IFSA 2003, PROCEEDINGS, 2003, 2715 : 450 - 457
  • [5] Using adaptive neuro-fuzzy inference system for hydrological time series prediction
    Zounemat-Kermani, Mohammad
    Teshnehlab, Mohammad
    APPLIED SOFT COMPUTING, 2008, 8 (02) : 928 - 936
  • [6] Using conflict theory.
    Kriesberg, L
    JOURNAL OF PEACE RESEARCH, 2005, 42 (02) : 237 - 237
  • [7] INTRODUCTION TO THEORY OF FUZZY SUBSETS - KAUFMAN,A
    PROCTOR, CH
    JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1977, 72 (357) : 229 - 230
  • [8] A Study of Experiential Learning Theory using Fuzzy Inference System
    Mandal, Sayantan
    Joo, Er Meng
    Wong, Yiik Diew
    Venkatesan, Rajasekar
    2015 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE 2015), 2015,
  • [9] A new approach to fuzzy logic inference based on spatial relationship of fuzzy subsets
    Shu, SP
    Wang, LL
    SOFT COMPUTING IN INTELLIGENT SYSTEMS AND INFORMATION PROCESSING, 1996, : 539 - 544
  • [10] Novel fuzzy inference system (FIS) analysis and design based on lattice theory. Part I: Working principles
    Kaburlasos, VG
    Kehagias, A
    INTERNATIONAL JOURNAL OF GENERAL SYSTEMS, 2006, 35 (01) : 45 - 67