• DocumentCode
    2214929
  • Title

    Self-adaptive fuzzy-timed systems

  • Author

    Andrés, César ; Liana, Luis ; Núñez, Manuel

  • Author_Institution
    Dept. de Sist. Informaticos y Comput., Univ. Complutense de Madrid, Madrid, Spain
  • fYear
    2011
  • fDate
    5-8 June 2011
  • Firstpage
    115
  • Lastpage
    122
  • Abstract
    We consider the formal representation and analysis of systems with fuzzy-time information. First, we present a formalism to represent specifications. This model exploits the concepts of fuzzy set theory and uses a mathematical framework to get a more flexible approach. As it is usually assumed in industrial case studies, we consider that the original requirements of the specification may change. The implementation is built with respect to these changes but the specification is not upgraded. Thus, it may be outdated. In order to continue using the formal framework, the specification must be adapted with respect to these new requirements. We consider that this update process should be as non-intrusive as possible, that is, without using the source-code of the implementation. We present a novel methodology for self-evolving fuzzy-time systems, without interacting with the source code.
  • Keywords
    formal specification; fuzzy set theory; self-adjusting systems; formal analysis; formal representation; formal specification; fuzzy set theory; fuzzy-time information; self adaptive fuzzy timed system; self evolving fuzzy time system; source code; Automata; Clocks; Color; Cost accounting; Fuzzy logic; Postal services; Semantics; Evolutive Systems; Fuzzy Set Theory; Timed Automata;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation (CEC), 2011 IEEE Congress on
  • Conference_Location
    New Orleans, LA
  • ISSN
    Pending
  • Print_ISBN
    978-1-4244-7834-7
  • Type

    conf

  • DOI
    10.1109/CEC.2011.5949607
  • Filename
    5949607