• DocumentCode
    2973807
  • Title

    Wage increment problems and fuzzy inference approach

  • Author

    Oderanti, Festus Oluseyi ; De Wilde, Philippe

  • Author_Institution
    Dept. of Comput. Sci., Heriot-Watt Univ., Edinburgh, UK
  • fYear
    2011
  • fDate
    18-20 March 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    We propose a flexible scheme for employers and employees which they can use as a decision support system in their future salary negotiations. This scheme uses a fuzzy inference system for arriving at more mutually agreeable decisions on wage negotiation. For example, rather than specifying 5% yearly increase of wages, we propose that the wage increase formula needs to take into consideration other factors which are mostly difficult to predict with certainty. These include inflation rate, business revenues or (profit), cost of production, number of competitors and other uncertain factors that may affect business operations. The accuracy of the fuzzy rule base will help to mitigate the adverse effects that a business may suffer from these uncertain factors. Based on our scheme, we propose that employers and employees should calculate their future wage by using a fuzzy rule base that takes into consideration those variables which are mostly uncertain and that could affect their decisions.
  • Keywords
    decision support systems; fuzzy logic; fuzzy reasoning; fuzzy set theory; salaries; business revenues; decision support system; fuzzy inference approach; fuzzy rule base; inflation rate; salary negotiations; wage increment problems; Adaptation model; Biological system modeling; Business; Economic indicators; Fuzzy sets; Training; business games; decision; employees; employers; fuzzy logic; membership functions; salary; wage bargaining; wage negotiation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Information Processing Society (NAFIPS), 2011 Annual Meeting of the North American
  • Conference_Location
    El Paso, TX
  • ISSN
    Pending
  • Print_ISBN
    978-1-61284-968-3
  • Electronic_ISBN
    Pending
  • Type

    conf

  • DOI
    10.1109/NAFIPS.2011.5751913
  • Filename
    5751913