• DocumentCode
    441685
  • Title

    Competitive analysis for the on-line fuzzy shortest path problem

  • Author

    Ma, Wei-min ; Chen, Guo-Qing

  • Author_Institution
    Sch. of Econ. & Manage., Beijing Univ. of Aeronaut. & Astronaut., China
  • Volume
    2
  • fYear
    2005
  • fDate
    18-21 Aug. 2005
  • Firstpage
    862
  • Abstract
    In this paper, based on the traditional shortest path problem in the domain of the operations research and the theory of the on-line algorithms, the on-line fuzzy shortest path problem (OFSP) is originally proposed by our team. In this realistic model, two kinds of uncertainties, namely on-line and fuzzy, are combined to be considered at the same time. Firstly, some preliminaries concerning the competitive analysis and shortest path problem and then the model of OFSP are established. Following that, some on-line fuzzy algorithms are designed to handle the problem of OFSP and the rigorous proofs for the competitive ratio are given. Finally, conclusions are made and some possible research directions are discussed.
  • Keywords
    competitive algorithms; fuzzy set theory; operations research; uncertainty handling; competitive analysis; online algorithms; online fuzzy shortest path problem; operations research; Aerodynamics; Algorithm design and analysis; Extraterrestrial measurements; Gain measurement; Operations research; Shortest path problem; Space technology; Statistics; Technology management; Uncertainty; Competitive analysis; competitive ratio; on-line fuzzy algorithm; shortest path;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
  • Conference_Location
    Guangzhou, China
  • Print_ISBN
    0-7803-9091-1
  • Type

    conf

  • DOI
    10.1109/ICMLC.2005.1527064
  • Filename
    1527064