• DocumentCode
    1877884
  • Title

    Algorithm for Weighted Hasse Diagram and Its Application

  • Author

    Mao Shuhua

  • Author_Institution
    Coll. of Sci., Wuhan Univ. of Technol., Wuhan, China
  • fYear
    2010
  • fDate
    10-12 Dec. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Hasse diagram is a very popular method for multi-criteria evaluation and decision making, but now we just use no-weighted Hasse diagram for each attribute. This paper concerns how to get the weighted Hasse diagram. Firstly, assessment cumulated matrix based on the weights of each attribute is proposed, then the weighted Hasse diagram can be drawn, and Bubley Dyer algorithm, which is a Monte Carlo Markov chain procedure, can be used to calculate the rank of the element in the matrix.
  • Keywords
    Markov processes; Monte Carlo methods; decision making; diagrams; graph theory; operations research; set theory; Bubley Dyer algorithm; Monte Carlo Markov chain procedure; assessment cumulated matrix; decision making; multicriteria evaluation; order ranking; weighted Hasse diagram; Biological system modeling; Chemicals; Computational modeling; Correlation; Estimation; Markov processes; Monte Carlo methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Software Engineering (CiSE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5391-7
  • Electronic_ISBN
    978-1-4244-5392-4
  • Type

    conf

  • DOI
    10.1109/CISE.2010.5677073
  • Filename
    5677073