• DocumentCode
    2669343
  • Title

    Evaluation of approximate reasoning methodologies

  • Author

    Cross, Valerie ; Sudkamp, Thomas

  • Author_Institution
    Dept. of Comput. Sci., Wright State Univ., Dayton, OH, USA
  • fYear
    1990
  • fDate
    21-25 May 1990
  • Firstpage
    1085
  • Abstract
    A methodology and architecture have been developed to compare the effectiveness and efficiency of evidential reasoning techniques based on the precision and completeness of domain information and observations. A generic classification tool (GCT) is developed to analyze the effectiveness of various evidential reasoning techniques. To compare the reasoning paradigms, the representation of the domain and evidential knowledge must be robust as possible without favoring any of the methods. Due to the ability to transform the representation into those required by each method, a variant of the fuzzy relational database model is chosen to represent domain knowledge. This generic evidential reasoning system is then used to compare the generation of support by the Dempster-Shafer theory and a fuzzy reasoning technique on two domains using both precise and imprecise information
  • Keywords
    fuzzy logic; inference mechanisms; knowledge representation; performance evaluation; relational databases; Dempster-Shafer theory; approximate reasoning; architecture; completeness; domain information; domain knowledge; effectiveness; efficiency; evidential knowledge; fuzzy reasoning; fuzzy relational database model; generic classification tool; precision; Computer science; Databases; Diagnostic expert systems; Fuzzy reasoning; Fuzzy set theory; Fuzzy systems; Pattern analysis; Pattern recognition; Robustness; Set theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Aerospace and Electronics Conference, 1990. NAECON 1990., Proceedings of the IEEE 1990 National
  • Conference_Location
    Dayton, OH
  • Type

    conf

  • DOI
    10.1109/NAECON.1990.112919
  • Filename
    112919