• DocumentCode
    2447143
  • Title

    Specifying vague requirements with a fuzzy logic based modeling framework

  • Author

    Lee, Jonathan

  • Author_Institution
    Inst. of Comput. Sci. & Electron. Eng., Nat. Central Univ., Chung-Li, Taiwan
  • fYear
    1994
  • fDate
    18-21 Dec 1994
  • Firstpage
    291
  • Lastpage
    295
  • Abstract
    Proposes a faceted requirement classification scheme for analyzing heterogeneous requirements. The representation of vague requirements is based on the canonical form in test-score semantics and an extension of the notion of soft conditions. The trade-offs analysis of conflicting soft requirements is conducted using fuzzy multi-criteria optimization techniques. The proposed approach provide a framework for formally modeling vague functional requirements
  • Keywords
    formal specification; fuzzy logic; optimisation; faceted requirement classification scheme; fuzzy logic based modeling framework; fuzzy multi-criteria optimization techniques; heterogeneous requirements; soft conditions; test-score semantics; vague requirements; Computer science; Feathers; Fuzzy logic; Stochastic processes; Testing; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Information Processing Society Biannual Conference, 1994. Industrial Fuzzy Control and Intelligent Systems Conference, and the NASA Joint Technology Workshop on Neural Networks and Fuzzy Logic,
  • Conference_Location
    San Antonio, TX
  • Print_ISBN
    0-7803-2125-1
  • Type

    conf

  • DOI
    10.1109/IJCF.1994.375118
  • Filename
    375118