• DocumentCode
    2024417
  • Title

    Study on fuzzy optimization theory, model and its application in flood control operations

  • Author

    Wang, Xingju ; Zhao, Ranhang

  • Author_Institution
    Sch. of Civil & Hydraulics Eng., Shandong Univ., Jinan, China
  • Volume
    2
  • fYear
    2010
  • fDate
    10-12 Aug. 2010
  • Firstpage
    936
  • Lastpage
    940
  • Abstract
    Flood control decisions are often involved with quantitative and qualitative criteria. In this paper, a fuzzy model is presented for flood control operations. Based on dual comparison, two models computing relative membership grades with qualitative and quantitative criteria are established, respectively. Subjective preference and iterative weights integrated method is proposed for weight-assessment. First, an initial solution of criteria weights is obtained by using proposed fuzzy optimal iteration model. Then, according to their knowledge related to real time flood operations, operators may modify the initial weights if necessary. When the relative membership grades of alternatives belonging to all rankings are fixed, the decision alternative is chosen according to the ranking characteristic value vector computed using a defuzzification equation. The case study of Fengman Reservoir flood operation (in China) is provided to illustrate the application of the proposed model.
  • Keywords
    decision making; floods; fuzzy set theory; iterative methods; reservoirs; Fengman reservoir flood operation; decision model; defuzzification equation; flood control operation; fuzzy optimization theory; iterative weight integrated method; weight-assessment; Computational modeling; Decision making; Equations; Floods; Mathematical model; Reservoirs; fuzzy optimization; fuzzy theory; qualitative and quantitative criteria; semi-structural decision; weight;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-5931-5
  • Type

    conf

  • DOI
    10.1109/FSKD.2010.5569135
  • Filename
    5569135