• DocumentCode
    389582
  • Title

    Similarity measure between scenarios through fuzzy inference

  • Author

    De Carvalho, Veronica Oliveira ; Morandin, Orides, Jr. ; Kato, Edilson R. R.

  • Author_Institution
    Comput. Sci. Dept., Univ. Fed. de Sao Carlos, Brazil
  • Volume
    5
  • fYear
    2002
  • fDate
    6-9 Oct. 2002
  • Abstract
    The simulation technique has been used to solve many problems that occur in the production process. Whenever an event occurs many alternatives (scenarios) can be generated in order to solve the problem. However, as much as the number of scenarios to be simulated becomes higher, the time spent in this process raises, implicating in a difficult task to find a good solution. Hence, it is necessary to reduce this number of scenarios. In this context, it is proposed an approach to reduce the number of scenarios to be simulated, grouping similar scenarios in sets, through the use of fuzzy logic.
  • Keywords
    computer integrated manufacturing; digital simulation; flexible manufacturing systems; fuzzy logic; inference mechanisms; uncertainty handling; artificial intelligence; decision making; flexible manufacturing system; fuzzy inference; fuzzy logic; production process; scenario similarity measure; simulation technique; Artificial intelligence; Automation; Computer science; Computer simulation; Decision making; Discrete event simulation; Feedback; Fuzzy logic; Laboratories; Production;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2002 IEEE International Conference on
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-7437-1
  • Type

    conf

  • DOI
    10.1109/ICSMC.2002.1176342
  • Filename
    1176342