• DocumentCode
    534397
  • Title

    Uncertainty and decision strategy analysis of GIS-based Ordered Weighted Averaging method

  • Author

    Chen, Jing ; Zhu, Qingjie

  • Author_Institution
    Coll. of Civil Eng. & Archit., Hebei Polytech. Univ., Tangshan, China
  • Volume
    1
  • fYear
    2010
  • fDate
    18-19 Oct. 2010
  • Abstract
    Ordered Weighted Averaging (OWA) is a relatively new Multi-Criteria Evaluation (MCE) method. In GIS-based OWA method, both criteria weights and order weights are considered, this makes the uncertainty and decision strategy more complicated. Uncertainty and decision strategy of OWA method are different from traditional MCE method, such as Boolean overlay and Weighted Linear Combination (WLC). Calculation method of order weights based on Rank and Orness, and construction method of comparison matrix for criteria weights based on analytical hierarchy program (AHP), are introduced; decision-making strategy of GIS-based OWA method is discussed through analyzing OWA evaluation procedure, the relationship between decision-making risk and tradeoff is investigated. As an example, GIS-based OWA method is applied to Tangshan City. According to the calculating results, uncertainty and the relationship between decision-making risk and land use suitability is discussed.
  • Keywords
    Boolean algebra; decision making; geographic information systems; Boolean overlay; GIS based ordered weighted averaging method; MCE; OWA; WLC; calculation method; decision strategy; decision strategy analysis; multi criteria evaluation; weighted linear combination; Artificial neural networks; Geographic Information Systems; MCE; OWA; Risk; Strategy; Tangsha; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Networking and Automation (ICINA), 2010 International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-8104-0
  • Electronic_ISBN
    978-1-4244-8106-4
  • Type

    conf

  • DOI
    10.1109/ICINA.2010.5636533
  • Filename
    5636533