• DocumentCode
    2692611
  • Title

    Quantitative evaluation of expert systems

  • Author

    Chen, Zhisong ; Grogono, Peter ; Suen, Ching Y.

  • Author_Institution
    Centre for Pattern Recognition & Machine Intelligence, Concordia Univ., Montreal, Que., Canada
  • Volume
    3
  • fYear
    1994
  • fDate
    2-5 Oct 1994
  • Firstpage
    2195
  • Abstract
    The rapidly increasing application of expert systems has lead to the need to assure their quality, especially in the critical areas where a fault may be serious. Metrics can provide a quantitative basis for such assurance activities. In this paper, we investigate several formal metrics that are designed for measuring the three important characteristics of expert systems: the size, search space, and complexity. The applications of these metrics to assess or predict the quality of expert systems are also addressed. In addition, a comprehensive evaluation and comparison of the metrics is conducted with the aim to assess their validity when applying them to quantify expert systems
  • Keywords
    expert systems; software performance evaluation; statistical analysis; complexity; expert systems; formal metrics; performance evaluation; quantitative evaluation; search space; statistical analysis; Area measurement; Expert systems; Fires; Humans; Lab-on-a-chip; Machine intelligence; Pattern recognition; Size measurement; Software quality; Statistical analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 1994. Humans, Information and Technology., 1994 IEEE International Conference on
  • Conference_Location
    San Antonio, TX
  • Print_ISBN
    0-7803-2129-4
  • Type

    conf

  • DOI
    10.1109/ICSMC.1994.400190
  • Filename
    400190