• DocumentCode
    2035375
  • Title

    The application of variable fuzzy sets theory in coastal waterway selection

  • Author

    Tang, Guolei ; Song, Xiangqun ; Guo, Zijian ; Wang, Wenyuan ; Li, Ningning

  • Author_Institution
    Fac. of Infrastruct. Eng., Dalian Univ. of Technol., Dalian, China
  • Volume
    3
  • fYear
    2010
  • fDate
    10-12 Aug. 2010
  • Firstpage
    1068
  • Lastpage
    1072
  • Abstract
    Variable fuzzy set theory (VFS) has evolved into a valuable method to solve multi-criteria decision making problems under fuzzy environments. This paper is concerned with the exposition of VFS theory and its application on coastal waterway selection. First, basic conceptions of VFS theory are described including relative difference function and relative membership function with interval values. Then a variable fuzzy optimization model is presented to get ranking order of all alternatives based on VFS. Finally, an example of coastal waterway selection for Yangshan Port (Phase I) is given, and the ranking order of all alternative is deduced by VFS theory, considering the uncertainty in port authority, shipowner and society. The results show that the evaluation process is reasonable, steady and easy to use in practice, which would be widely applied in port and waterway engineering.
  • Keywords
    decision making; fuzzy set theory; operations research; optimisation; rivers; Yangshan port; coastal waterway selection; multicriteria decision making problems; relative difference function; relative membership function; variable fuzzy optimization model; variable fuzzy sets theory; Decision making; Eigenvalues and eigenfunctions; Fuzzy set theory; Fuzzy sets; Marine vehicles; Optimization; Sea measurements; Yangshan Port; coastal waterway selection; optimization; relative difference function; variable fuzzy; variable fuzzy sets;
  • 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.2010.5569572
  • Filename
    5569572