• DocumentCode
    468331
  • Title

    Matching Scenarios Patterns by Using Linear Programming

  • Author

    Zhao, Guoxing ; Luo, Bin ; Ma, Jixin

  • Author_Institution
    Univ. of Greenwich, Greenwich
  • Volume
    3
  • fYear
    2007
  • fDate
    24-27 Aug. 2007
  • Firstpage
    346
  • Lastpage
    350
  • Abstract
    This paper continues the work presented previously at ICNC-FSKD-05 for representing and matching scenario patterns. A unified scheme is presented to replace the two previous equivalent schemas for formalizing scenario patterns. In the unified scheme, a scenario is denoted in terms of a collection of states with the corresponding temporal constraints, where a state is defined as a set of Boolean-valued time-dependent fluents. The concept of a scenario graph is formally introduced as a directed, partially weighted and labeled simple graph. Based on such a graphical representation, an extended linear programming graph matching algorithm is proposed for recognizing scenario patterns.
  • Keywords
    graph theory; linear programming; pattern matching; Boolean-valued time-dependent fluents; ICNC-FSKD-05; extended linear programming graph matching; formalizing scenario patterns; graphical representation; labeled simple graph; partially weighted; scenario graph; scenario pattern recognition; scenarios pattern matching; temporal constraints; unified scheme; Artificial intelligence; Computer science; History; Linear programming; Logic; Pattern classification; Pattern matching; Pattern recognition; Process planning; Real time systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
  • Conference_Location
    Haikou
  • Print_ISBN
    978-0-7695-2874-8
  • Type

    conf

  • DOI
    10.1109/FSKD.2007.389
  • Filename
    4406258