• DocumentCode
    3226096
  • Title

    Features with fuzzy probability

  • Author

    Pieczyriski, A. ; Robak, Silva ; Walaszek-Babiszewska, Anna

  • Author_Institution
    Inst. of Control & Comput. Eng., University of Zielona Gora, Poland
  • fYear
    2004
  • fDate
    24-27 May 2004
  • Firstpage
    323
  • Lastpage
    328
  • Abstract
    This paper proposes an expert system description based on a feature diagram tree, annotated with weighted variant features in the software family context. The principle of how some variant features may be described on the basis of fuzzy logic is presented and fuzzy probability of market conditions is introduced. The proposed description integrates the external cross-tree constraints, and the resulting homogeneity of the logic then allows its usage to further applications, e.g., generators, or to the purposes of constraint based reasoning itself. The appliance of the proposed approach is demonstrated by the example of a mobile phone tariff description. In the example descriptions of the decision tree for customers have been prepared.
  • Keywords
    decision trees; expert systems; formal specification; fuzzy logic; fuzzy reasoning; fuzzy set theory; knowledge representation; marketing data processing; mobile handsets; probability; constraint based reasoning; cross-tree constraints; decision tree; expert system description; feature diagram tree; fuzzy logic; fuzzy probability; market conditions; mobile phone tariff; software family context; weighted variant feature; Application software; Computer science; Control engineering computing; Decision trees; Econometrics; Expert systems; Fuzzy logic; Home appliances; Mobile handsets; Object oriented modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering of Computer-Based Systems, 2004. Proceedings. 11th IEEE International Conference and Workshop on the
  • Print_ISBN
    0-7695-2125-8
  • Type

    conf

  • DOI
    10.1109/ECBS.2004.1316715
  • Filename
    1316715