• DocumentCode
    3310932
  • Title

    Company acquisition analysis formulating queries with imprecise domains

  • Author

    Cox, Earl

  • Author_Institution
    Knowledge Based Technologies, White Plains, NY, USA
  • fYear
    1991
  • fDate
    9-11 Oct 1991
  • Firstpage
    194
  • Lastpage
    199
  • Abstract
    This paper describes the use of fuzzy logic and approximate reasoning in the evaluation and selection of candidate companies from large, public and private databases. The integrated fuzzy logic system extends SQL database queries with fuzzy screening to actually screen, select, and rank companies from such public services such as Standard and Poors, Valueline and Dunn and Broadstreet. A second phase of the fuzzy system, not discussed in this paper, provides post-selection analysis by evaluating candidate corporate financial statements-balance sheets and income statements-using fuzzy metrics to determine whether or not the company is within target guidelines. An illustration schematically describes the complete system as it was originally configured
  • Keywords
    financial data processing; fuzzy logic; fuzzy set theory; relational databases; uncertainty handling; SQL; approximate reasoning; company acquisition analysis; corporate financial statements; database queries; fuzzy logic; fuzzy screening; fuzzy set operations; public services; relational databases; Banking; Database systems; Distributed databases; Fuzzy logic; Fuzzy sets; Fuzzy systems; Guidelines; Marketing and sales; Milling machines; Qualifications;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence Applications on Wall Street, 1991. Proceedings., First International Conference on
  • Conference_Location
    New York, NY
  • Print_ISBN
    0-8186-2240-7
  • Type

    conf

  • DOI
    10.1109/AIAWS.1991.236602
  • Filename
    236602