• DocumentCode
    2026109
  • Title

    Application of entropy-weight based fuzzy matter-element model in evaluation of paddy field water-saving irrigation technology

  • Author

    Wei, Yongxia ; Qu, Mingyang ; Zhang, Zhongxue

  • Author_Institution
    Water & Civil Eng. Coll., Northeast Agric. Univ., Harbin, China
  • Volume
    2
  • fYear
    2010
  • fDate
    10-12 Aug. 2010
  • Firstpage
    827
  • Lastpage
    830
  • Abstract
    Aiming at fuzziness of water-saving irrigation technology evaluation and the independence and incompatibility of each single index, a entropy-weight based fuzzy matter-element model for paddy field water-saving irrigation technology optimization was established based on the combination of fuzzy matter-element and the entropy theory in paddy field water-saving irrigation technology evaluation in the Sanjiang Plain in Heilongjiang province, and the model was compared with grey relation projection method in evaluation. The result showed that the model weight coefficients of indexes calculation using the utility value of data themselves which was reflected by information entropy could effectively avoid the difficulty in weight distribution and the uncertainty of subjective judgment, so the model is reasonable and feasible to be applied in paddy field water-saving irrigation technology optimization.
  • Keywords
    entropy; fuzzy set theory; irrigation; optimisation; water conservation; water storage; entropy weight theory; fuzzy matter element model; grey relation projection method; model weight coefficients; optimization; paddy field; water saving irrigation technology; Computational modeling; Data models; Entropy; Indexes; Irrigation; Manganese; Mathematical model; Irrigation; entropy theory; evaluation; fuzzy matter-element; paddy field; technology; water-saving;
  • 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.2010.5569204
  • Filename
    5569204