• DocumentCode
    1620658
  • Title

    A fuzzy logic approach to performance evaluation

  • Author

    Ammar, Salwa ; Wright, Ronald

  • Author_Institution
    Dept. of Bus. Admin., Le Moyne Coll., Syracuse, NY, USA
  • fYear
    1995
  • Firstpage
    246
  • Lastpage
    251
  • Abstract
    Client satisfaction surveys are a growing part of performance evaluation for both individuals and corporate units. At one Northeast public utility, when these surveys became a major part of performance evaluation, concerns were raised about the validity of current procedures for analyzing this data. A research and development effort was begun to see how well fuzzy logic could be used to analyze this inherently imprecise data. In this paper, we describe the current procedures and their obvious defects, a preliminary model which corrects the worst deficiencies, and finally the R&D supported model which was developed using a fuzzy rule-based system
  • Keywords
    administrative data processing; data analysis; fuzzy logic; knowledge based systems; performance evaluation; public utilities; research and development management; uncertainty handling; Northeast public utility; client satisfaction surveys; corporate units; fuzzy logic; fuzzy rule-based system; inherently imprecise data analysis; performance evaluation; research and development effort; Customer satisfaction; Data analysis; Distributed computing; Educational institutions; Fuzzy logic; Knowledge based systems; Performance analysis; Planning; Research and development; Telecommunication computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Uncertainty Modeling and Analysis, 1995, and Annual Conference of the North American Fuzzy Information Processing Society. Proceedings of ISUMA - NAFIPS '95., Third International Symposium on
  • Conference_Location
    College Park, MD
  • Print_ISBN
    0-8186-7126-2
  • Type

    conf

  • DOI
    10.1109/ISUMA.1995.527701
  • Filename
    527701