• DocumentCode
    536343
  • Title

    Notice of Retraction
    Application of vague-based rough decision-making approach to block division planning

  • Author

    Zhi-qiang Feng ; Cun-gen Liu

  • Author_Institution
    Sch. of Naval Archit., Ocean & Civil Eng., Shanghai Jiao Tong Univ., Shanghai, China
  • Volume
    2
  • fYear
    2010
  • fDate
    29-31 Oct. 2010
  • Firstpage
    814
  • Lastpage
    817
  • Abstract
    Notice of Retraction

    After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

    We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

    The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

    As a complex decision-making process in ship production design, block division is largely dependent on the experiences of ship-designers. Thus, how to quantify these experiences so as to make the alternatives feasible within a reasonable framework has become a key to the problem. In this paper, we propose a method of vague-based rough decision-making to deal with block division planning under an uncertain environment. Firstly, we construct a similarity relation between vague data. Secondly, we get the ideal plans via the lower rough approximation to a decision set. Finally, through the comparison of ideal plans, we will obtain the most ideal plan. An example of plans option is used to illustrate the effectiveness of proposed method.
  • Keywords
    decision making; planning; product design; ships; block division planning; ship production design; vague based rough decision making approach; Approximation methods; Marine vehicles; Welding; block division; decision-making; measures of similarity; rough approximation; vague sets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4244-6582-8
  • Type

    conf

  • DOI
    10.1109/ICICISYS.2010.5658737
  • Filename
    5658737